"markdown": "---\ntitle: \"Big annoucement!\"\ndescription: \"We are thrilled to announce that we are looking for two talented students to join our team for AmyloGraph 2.0 project (2023/51/D/NZ7/02847)\"\ndate: \"8/27/2024\"\ncategories:\n - news\n - AmyloGraph\n - amyloids\n - hiring\n - NCN\n---\n\n::: {.cell}\n\n:::\n\n\n## About the Project\nAmyloids are proteins implicated in numerous serious diseases, including Alzheimer’s, Parkinson's, Creutzfeldt-Jakob's disease, and type 2 diabetes. These proteins are known for their ability to self-aggregate into unique supramolecular fibrils, a process that plays a critical role in disease progression.\n\nOur team has previously developed AmyloGraph, database of amyloid interactions, which you can explore [here](https://amylograph.com/). In this new phase of our research, we aim to take AmyloGraph to the next level. We will design and implement machine learning-based tools to analyze the data more effectively and revamp the user interface to make it easier for researchers to access the latest information.\n\nBut that’s not all. The data collected during this project will be used to train predictive models, with the ultimate goal of designing new chemical compounds that can inhibit amyloid self-aggregation. These compounds hold great promise for the treatment of various amyloid-related diseases.\n\n## Details\n### `<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 512 512\" style=\"height:1.5em;width:1.5em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:black;overflow:visible;position:relative;\"><path d=\"M184 48H328c4.4 0 8 3.6 8 8V96H176V56c0-4.4 3.6-8 8-8zm-56 8V96H64C28.7 96 0 124.7 0 160v96H192 320 512V160c0-35.3-28.7-64-64-64H384V56c0-30.9-25.1-56-56-56H184c-30.9 0-56 25.1-56 56zM512 288H320v32c0 17.7-14.3 32-32 32H224c-17.7 0-32-14.3-32-32V288H0V416c0 35.3 28.7 64 64 64H448c35.3 0 64-28.7 64-64V288z\"/></svg>`{=html} Employment conditions\n\n`<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 384 512\" style=\"height:1em;width:0.75em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M215.7 499.2C267 435 384 279.4 384 192C384 86 298 0 192 0S0 86 0 192c0 87.4 117 243 168.3 307.2c12.3 15.3 35.1 15.3 47.4 0zM192 128a64 64 0 1 1 0 128 64 64 0 1 1 0-128z\"/></svg>`{=html} **Place**: Remotely or at Bioinformatics and Multiomics Analyses Laboratory, Clinical Research Centre, Medical University of Białystok, Poland\n\n`<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 512 512\" style=\"height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M320 96H192L144.6 24.9C137.5 14.2 145.1 0 157.9 0H354.1c12.8 0 20.4 14.2 13.3 24.9L320 96zM192 128H320c3.8 2.5 8.1 5.3 13 8.4C389.7 172.7 512 250.9 512 416c0 53-43 96-96 96H96c-53 0-96-43-96-96C0 250.9 122.3 172.7 179 136.4l0 0 0 0c4.8-3.1 9.2-5.9 13-8.4zm84 88c0-11-9-20-20-20s-20 9-20 20v14c-7.6 1.7-15.2 4.4-22.2 8.5c-13.9 8.3-25.9 22.8-25.8 43.9c.1 20.3 12 33.1 24.7 40.7c11 6.6 24.7 10.8 35.6 14l1.7 .5c12.6 3.8 21.8 6.8 28 10.7c5.1 3.2 5.8 5.4 5.9 8.2c.1 5-1.8 8-5.9 10.5c-5 3.1-12.9 5-21.4 4.7c-11.1-.4-21.5-3.9-35.1-8.5c-2.3-.8-4.7-1.6-7.2-2.4c-10.5-3.5-21.8 2.2-25.3 12.6s2.2 21.8 12.6 25.3c1.9 .6 4 1.3 6.1 2.1l0 0 0 0c8.3 2.9 17.9 6.2 28.2 8.4V424c0 11 9 20 20 20s20-9 20-20V410.2c8-1.7 16-4.5 23.2-9c14.3-8.9 25.1-24.1 24.8-45c-.3-20.3-11.7-33.4-24.6-41.6c-11.5-7.2-25.9-11.6-37.1-15l0 0-.7-.2c-12.8-3.9-21.9-6.7-28.3-10.5c-5.2-3.1-5.3-4.9-5.3-6.7c0-3.7 1.4-6.5 6.2-9.3c5.4-3.2 13.6-5.1 21.5-5c9.6 .1 20.2 2.2 31.2 5.2c10.7 2.8 21.6-3.5 24.5-14.2s-3.5-21.6-14.2-24.5c-6.5-1.7-13.7-3.4-21.1-4.7V216z\"/></svg>`{=html} **Scholarship/salary**: 2500 PLN per month (tax-free for students under 26 yo)\n\n`<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 384 512\" style=\"height:1em;width:0.75em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M32 0C14.3 0 0 14.3 0 32S14.3 64 32 64V75c0 42.4 16.9 83.1 46.9 113.1L146.7 256 78.9 323.9C48.9 353.9 32 394.6 32 437v11c-17.7 0-32 14.3-32 32s14.3 32 32 32H64 320h32c17.7 0 32-14.3 32-32s-14.3-32-32-32V437c0-42.4-16.9-83.1-46.9-113.1L237.3 256l67.9-67.9c30-30 46.9-70.7 46.9-113.1V64c17.7 0 32-14.3 32-32s-14.3-32-32-32H320 64 32zM288 437v11H96V437c0-25.5 10.1-49.9 28.1-67.9L192 301.3l67.9 67.9c18 18 28.1 42.4 28.1 67.9z\"/></svg>`{=html} **Planned start date for project work**: 01.10.2024\n\n### `<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 448 512\" style=\"height:1.5em;width:1.31em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:black;overflow:visible;position:relative;\"><path d=\"M152 24c0-13.3-10.7-24-24-24s-24 10.7-24 24V64H64C28.7 64 0 92.7 0 128v16 48V448c0 35.3 28.7 64 64 64H384c35.3 0 64-28.7 64-64V192 144 128c0-35.3-28.7-64-64-64H344V24c0-13.3-10.7-24-24-24s-24 10.7-24 24V64H152V24zM48 192H400V448c0 8.8-7.2 16-16 16H64c-8.8 0-16-7.2-16-16V192z\"/></svg>`{=html} Important dates\n\n`<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 384 512\" style=\"height:1em;width:0.75em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M32 0C14.3 0 0 14.3 0 32S14.3 64 32 64V75c0 42.4 16.9 83.1 46.9 113.1L146.7 256 78.9 323.9C48.9 353.9 32 394.6 32 437v11c-17.7 0-32 14.3-32 32s14.3 32 32 32H64 320h32c17.7 0 32-14.3 32-32s-14.3-32-32-32V437c0-42.4-16.9-83.1-46.9-113.1L237.3 256l67.9-67.9c30-30 46.9-70.7 46.9-113.1V64c17.7 0 32-14.3 32-32s-14.3-32-32-32H320 64 32zM96 75V64H288V75c0 25.5-10.1 49.9-28.1 67.9L192 210.7l-67.9-67.9C106.1 124.9 96 100.4 96 75z\"/></svg>`{=html} **Submission deadline**: 06.09.2024, 15:00 (GMT+2)\n\n`<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 640 512\" style=\"height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M88.2 309.1c9.8-18.3 6.8-40.8-7.5-55.8C59.4 230.9 48 204 48 176c0-63.5 63.8-128 160-128s160 64.5 160 128s-63.8 128-160 128c-13.1 0-25.8-1.3-37.8-3.6c-10.4-2-21.2-.6-30.7 4.2c-4.1 2.1-8.3 4.1-12.6 6c-16 7.2-32.9 13.5-49.9 18c2.8-4.6 5.4-9.1 7.9-13.6c1.1-1.9 2.2-3.9 3.2-5.9zM0 176c0 41.8 17.2 80.1 45.9 110.3c-.9 1.7-1.9 3.5-2.8 5.1c-10.3 18.4-22.3 36.5-36.6 52.1c-6.6 7-8.3 17.2-4.6 25.9C5.8 378.3 14.4 384 24 384c43 0 86.5-13.3 122.7-29.7c4.8-2.2 9.6-4.5 14.2-6.8c15.1 3 30.9 4.5 47.1 4.5c114.9 0 208-78.8 208-176S322.9 0 208 0S0 78.8 0 176zM432 480c16.2 0 31.9-1.6 47.1-4.5c4.6 2.3 9.4 4.6 14.2 6.8C529.5 498.7 573 512 616 512c9.6 0 18.2-5.7 22-14.5c3.8-8.8 2-19-4.6-25.9c-14.2-15.6-26.2-33.7-36.6-52.1c-.9-1.7-1.9-3.4-2.8-5.1C622.8 384.1 640 345.8 640 304c0-94.4-87.9-171.5-198.2-175.8c4.1 15.2 6.2 31.2 6.2 47.8l0 .6c87.2 6.7 144 67.5 144 127.4c0 28-11.4 54.9-32.7 77.2c-14.3 15-17.3 37.6-7.5 55.8c1.1 2 2.2 4 3.2 5.9c2.5 4.5 5.2 9 7.9 13.6c-17-4.5-33.9-10.7-49.9-18c-4.3-1.9-8.5-3.9-12.6-6c-9.5-4.8-20.3-6.2-30.7-4.2c-12.1 2.4-24.7 3.6-37.8 3.6c-61.7 0-110-26.5-136.8-62.3c-16 5.4-32.8 9.4-50 11.8C279 439.8 350 480 432 480z\"/></svg>`{=html} **Interviews (Google Meet)**: 16-17.09.2024\n\n## Tasks and skills\n\n### `<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 640 512\" style=\"height:1.5em;width:1.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:black;overflow:visible;position:relative;\"><path d=\"M320 32c-8.1 0-16.1 1.4-23.7 4.1L15.8 137.4C6.3 140.9 0 149.9 0 160s6.3 19.1 15.8 22.6l57.9 20.9C57.3 229.3 48 259.8 48 291.9v28.1c0 28.4-10.8 57.7-22.3 80.8c-6.5 13-13.9 25.8-22.5 37.6C0 442.7-.9 448.3 .9 453.4s6 8.9 11.2 10.2l64 16c4.2 1.1 8.7 .3 12.4-2s6.3-6.1 7.1-10.4c8.6-42.8 4.3-81.2-2.1-108.7C90.3 344.3 86 329.8 80 316.5V291.9c0-30.2 10.2-58.7 27.9-81.5c12.9-15.5 29.6-28 49.2-35.7l157-61.7c8.2-3.2 17.5 .8 20.7 9s-.8 17.5-9 20.7l-157 61.7c-12.4 4.9-23.3 12.4-32.2 21.6l159.6 57.6c7.6 2.7 15.6 4.1 23.7 4.1s16.1-1.4 23.7-4.1L624.2 182.6c9.5-3.4 15.8-12.5 15.8-22.6s-6.3-19.1-15.8-22.6L343.7 36.1C336.1 33.4 328.1 32 320 32zM128 408c0 35.3 86 72 192 72s192-36.7 192-72L496.7 262.6 354.5 314c-11.1 4-22.8 6-34.5 6s-23.5-2-34.5-6L143.3 262.6 128 408z\"/></svg>`{=html} student 1\n\n#### `<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 512 512\" style=\"height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M152.1 38.2c9.9 8.9 10.7 24 1.8 33.9l-72 80c-4.4 4.9-10.6 7.8-17.2 7.9s-12.9-2.4-17.6-7L7 113C-2.3 103.6-2.3 88.4 7 79s24.6-9.4 33.9 0l22.1 22.1 55.1-61.2c8.9-9.9 24-10.7 33.9-1.8zm0 160c9.9 8.9 10.7 24 1.8 33.9l-72 80c-4.4 4.9-10.6 7.8-17.2 7.9s-12.9-2.4-17.6-7L7 273c-9.4-9.4-9.4-24.6 0-33.9s24.6-9.4 33.9 0l22.1 22.1 55.1-61.2c8.9-9.9 24-10.7 33.9-1.8zM224 96c0-17.7 14.3-32 32-32H480c17.7 0 32 14.3 32 32s-14.3 32-32 32H256c-17.7 0-32-14.3-32-32zm0 160c0-17.7 14.3-32 32-32H480c17.7 0 32 14.3 32 32s-14.3 32-32 32H256c-17.7 0-32-14.3-32-32zM160 416c0-17.7 14.3-32 32-32H480c17.7 0 32 14.3 32 32s-14.3 32-32 32H192c-17.7 0-32-14.3-32-32zM48 368a48 48 0 1 1 0 96 48 48 0 1 1 0-96z\"/></svg>`{=html} Tasks:\n\n1. Automating the search for new sources of information.\n2. Developing tools for automated data validation.\n3. Creating tools for automated data acquisition from new sources.\n4. Designing and implementing a new version of the AmyloGraph database.\n5. Implementing the new version of the AmyloGraph database.\n6. Training and conducting a comparative analysis of the prediction model for modulators.\n7. Implementing generative models for designing small molecules.\n\n#### `<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 576 512\" style=\"height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M413.5 237.5c-28.2 4.8-58.2-3.6-80-25.4l-38.1-38.1C280.4 159 272 138.8 272 117.6V105.5L192.3 62c-5.3-2.9-8.6-8.6-8.3-14.7s3.9-11.5 9.5-14l47.2-21C259.1 4.2 279 0 299.2 0h18.1c36.7 0 72 14 98.7 39.1l44.6 42c24.2 22.8 33.2 55.7 26.6 86L503 183l8-8c9.4-9.4 24.6-9.4 33.9 0l24 24c9.4 9.4 9.4 24.6 0 33.9l-88 88c-9.4 9.4-24.6 9.4-33.9 0l-24-24c-9.4-9.4-9.4-24.6 0-33.9l8-8-17.5-17.5zM27.4 377.1L260.9 182.6c3.5 4.9 7.5 9.6 11.8 14l38.1 38.1c6 6 12.4 11.2 19.2 15.7L134.9 484.6c-14.5 17.4-36 27.4-58.6 27.4C34.1 512 0 477.8 0 435.7c0-22.6 10.1-44.1 27.4-58.6z\"/></svg>`{=html} Skills:\n\n* Proficiency in designing machine learning models.\n* Experience in creating and implementing databases.\n* Advanced knowledge of the R language, particularly within the tidyverse environment and the Shiny package.\n* Knowledge of Python and JavaScript is an advantage.\n* Familiarity with version control systems.\n* Strong teamwork skills and motivation to conduct research.\n\n\n### `<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 640 512\" style=\"height:1.5em;width:1.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:black;overflow:visible;position:relative;\"><path d=\"M320 32c-8.1 0-16.1 1.4-23.7 4.1L15.8 137.4C6.3 140.9 0 149.9 0 160s6.3 19.1 15.8 22.6l57.9 20.9C57.3 229.3 48 259.8 48 291.9v28.1c0 28.4-10.8 57.7-22.3 80.8c-6.5 13-13.9 25.8-22.5 37.6C0 442.7-.9 448.3 .9 453.4s6 8.9 11.2 10.2l64 16c4.2 1.1 8.7 .3 12.4-2s6.3-6.1 7.1-10.4c8.6-42.8 4.3-81.2-2.1-108.7C90.3 344.3 86 329.8 80 316.5V291.9c0-30.2 10.2-58.7 27.9-81.5c12.9-15.5 29.6-28 49.2-35.7l157-61.7c8.2-3.2 17.5 .8 20.7 9s-.8 17.5-9 20.7l-157 61.7c-12.4 4.9-23.3 12.4-32.2 21.6l159.6 57.6c7.6 2.7 15.6 4.1 23.7 4.1s16.1-1.4 23.7-4.1L624.2 182.6c9.5-3.4 15.8-12.5 15.8-22.6s-6.3-19.1-15.8-22.6L343.7 36.1C336.1 33.4 328.1 32 320 32zM128 408c0 35.3 86 72 192 72s192-36.7 192-72L496.7 262.6 354.5 314c-11.1 4-22.8 6-34.5 6s-23.5-2-34.5-6L143.3 262.6 128 408z\"/></svg>`{=html} student 2\n\n#### `<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 512 512\" style=\"height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M152.1 38.2c9.9 8.9 10.7 24 1.8 33.9l-72 80c-4.4 4.9-10.6 7.8-17.2 7.9s-12.9-2.4-17.6-7L7 113C-2.3 103.6-2.3 88.4 7 79s24.6-9.4 33.9 0l22.1 22.1 55.1-61.2c8.9-9.9 24-10.7 33.9-1.8zm0 160c9.9 8.9 10.7 24 1.8 33.9l-72 80c-4.4 4.9-10.6 7.8-17.2 7.9s-12.9-2.4-17.6-7L7 273c-9.4-9.4-9.4-24.6 0-33.9s24.6-9.4 33.9 0l22.1 22.1 55.1-61.2c8.9-9.9 24-10.7 33.9-1.8zM224 96c0-17.7 14.3-32 32-32H480c17.7 0 32 14.3 32 32s-14.3 32-32 32H256c-17.7 0-32-14.3-32-32zm0 160c0-17.7 14.3-32 32-32H480c17.7 0 32 14.3 32 32s-14.3 32-32 32H256c-17.7 0-32-14.3-32-32zM160 416c0-17.7 14.3-32 32-32H480c17.7 0 32 14.3 32 32s-14.3 32-32 32H192c-17.7 0-32-14.3-32-32zM48 368a48 48 0 1 1 0 96 48 48 0 1 1 0-96z\"/></svg>`{=html} Tasks:\n\n1. Expanded maintenance of existing data sources.\n2. Data curation from new sources for the AmyloGraph database.\n3. Designing existing databases.\n4. Designing and creating a system for browsing databases of small molecular compounds.\n5. Training and conducting a comparative analysis of the prediction model for modulators.\n\n#### `<svg aria-hidden=\"true\" role=\"img\" viewBox=\"0 0 576 512\" style=\"height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:pink;overflow:visible;position:relative;\"><path d=\"M413.5 237.5c-28.2 4.8-58.2-3.6-80-25.4l-38.1-38.1C280.4 159 272 138.8 272 117.6V105.5L192.3 62c-5.3-2.9-8.6-8.6-8.3-14.7s3.9-11.5 9.5-14l47.2-21C259.1 4.2 279 0 299.2 0h18.1c36.7 0 72 14 98.7 39.1l44.6 42c24.2 22.8 33.2 55.7 26.6 86L503 183l8-8c9.4-9.4 24.6-9.4 33.9 0l24 24c9.4 9.4 9.4 24.6 0 33.9l-88 88c-9.4 9.4-24.6 9.4-33.9 0l-24-24c-9.4-9.4-9.4-24.6 0-33.9l8-8-17.5-17.5zM27.4 377.1L260.9 182.6c3.5 4.9 7.5 9.6 11.8 14l38.1 38.1c6 6 12.4 11.2 19.2 15.7L134.9 484.6c-14.5 17.4-36 27.4-58.6 27.4C34.1 512 0 477.8 0 435.7c0-22.6 10.1-44.1 27.4-58.6z\"/></svg>`{=html} Skills:\n\n* Expertise in verifying biological data and data management.\n* Knowledge of amyloid aggregation and methods for testing it.\n*\tProficiency in topology and network analysis.\n*\tExperience with methods of biological data processing in machine learning models, particularly for small molecular compounds and proteins.\n*\tAdvanced proficiency in the R language, especially within the tidyverse environment and Shiny package.\n*\tFamiliarity with the TeX language.\n*\tAbility to work with version control systems.\n*\tStrong teamwork skills and motivation to conduct research.\n*\tVery good command of English, both written and oral.\n\n\n**Don’t worry if you don’t have all the required skills—if you’re eager to learn, don’t hesitate to apply!**\n\n### How to apply\n\n**Submit your**: \n\n1. cover letter \n2. CV \n3. proof of student status (can be sent at the start of scholarship)\n4. signed [GDPR consent form](../download_files/GDPR_MUB_recruitment.pdf)\n\n**to
[email protected] with the subject line: \"Scholarship holder in project no. 2023/51/D/NZ7/02847\".**\n\n\n\n\n\n**More detailed info about requirements and needed documents**: [student 1](../download_files/stud1.pdf), [student 2](../download_files/stud2.pdf)\n\n\n\n\n",
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