19 modeling-and-simulation-"UNIVERSITY-OF-SOUTHAMPTON" positions at SciLifeLab in Sweden
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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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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directions include: Quantitative genetics and phylogenetics: incorporating developmental constraints into evolutionary models and exploring how they shape patterns of variation. Modeling development from data
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learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a user fee-based support model. The projects will differ in complexity and length and will
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time and space and create AI-based models to predict human cells. As the Scientific Program Manager, you will make a key contribution to this exciting new direction at SciLifeLab through setting up
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Cell initiative is a new flagship research program aiming to develop an AI model of a human cell to predict key cellular functions. It is funded by the Knut & Alice Wallenberg Foundation (KAW) and
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complete according to the instructions in the ad. The application must include: CV including relevant professional experience and knowledge. Copy of degree certificate for doctoral studies. Brief statement
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advanced biostatistics/machine learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a “user fee-based” support model. The projects will differ in
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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