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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
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on two campuses in the city of Gothenburg. Research in the department has a wide span, from theoretical foundations to applied systems development. We provide high quality education at the bachelor's
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. The student will work in a group addressing all these challenges, developing new AI-based methods to improve biological realism in simulations which will lead to more accurately inferred GRNs from real data
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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understanding their pharmacokinetic properties including how the compounds are metabolized to ensure safe and effective drug development. Data-driven life science (DDLS) uses data, computational methods and
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solutions. Against this background, the applicant is expected to have some knowledge of digitalization and current developments towards AI solutions for businesses. It is important that the candidate is
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, little code development and programming is expected since our numerical models and tools have been developed and have a long, successful background. However, analyzing simulation results and spacecraft
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processes with applications in drug development directed towards heart failure and antimicrobial resistance. The position is for four years of doctoral studies, including participation in research and
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Chemistry. The thesis project will focus on regulation of calcium signalling processes with applications in drug development directed towards heart failure and antimicrobial resistance. The position is for
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven