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on understanding the role of protein dynamics in this process. Main responsibilities You will work together with structural biologists and computational chemists, primarily carrying out molecular simulations
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new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut
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strategy and organizational structure of the program in close collaboration with the Scientific Directors Prof. Jan Ellenberg and Prof. Mathias Uhlén. Coordinate and monitor research activities, recruitments
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional
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administrators. Each year, we process more than 60,000 samples and generate over 400 Terabases of data. More about our activities and services can be found at: https://www.uu.se/forskning/snpseq and https
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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
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, advanced light and electron microscopy, and computational life sciences Guidance on relocating and settling in KTH and in Sweden Qualifications Requirements A doctoral degree or an equivalent foreign degree
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applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
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project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches