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. Simulation-based inference (SBI) addresses this by training neural networks, such as flow-matching generative models, on simulated events. The project aims to develop efficient, robust and calibrated SBI
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candidate will join the Scientific Machine Learning group at TDB and SciLifeLab. The group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification
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cultivation of cells. (ii) Applying phage display technology for antibody development and (iii) down-stream molecular and functional characterization. The tasks also include documenting and reporting
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, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years. As a doctoral student, you are entitled to a workplace with many employee benefits
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positions, academic title, current position, academic distinctions, and committee work A complete list of publications A summary of current work (no more than one page) The application is to be submitted
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of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier and be due to circumstances such as sick leave, parental leave, duties in labor
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period. Stockholm University applies individual salary setting. Start date as per agreement. We offer With us, you will experience the dynamic interaction between higher education and research that makes
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This is a full-time, indefinite-term employment with a six-month probationary period. Stockholm University applies individual salary setting. Start date as per agreement. We offer With us, you will
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prediction, most current models still describe proteins largely as static structures and do not fully capture the conformational ensembles that underlie protein function. This PhD project aims to address
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong