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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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. The models will be based on eco-evolutionary theory and informed with ecological and evolutionary data from public databases and published papers. This combined theoretical and data driven approach includes
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description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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new methods. Good computer skills. Additional qualifications for the position are: Documented theoretical or practical experience in structural biology and/or mass spectrometry. Experience of project