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methods involving molecular surface display and deep sequencing to study force-dependent behavior in protein systems. These datasets will, in turn, be used to train machine learning models capable
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dynamics (MD) simulations including enhanced sampling techniques as well as machine learning. Profile Applicants should hold a M.Sc. in computational chemistry, chemistry, biochemistry, or physics
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can significantly improve the treatment and outcome of oncological patients. Project background You will contribute to the design and implementation of machine-learning-based sparse 3D image
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development of metacognitive skills across childhood and adolescence. Metacognitive skills play a central role in successful learning because they enable learners to monitor their own understanding, recognize
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to the forefront of this development by exploring innovative approaches and trying them in practice. Job description Conduct research on methods for match and performance analysis Teach and supervise students
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, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out
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robotics, biohybrid living systems, dexterous manipulation and robot learning, and simulation for embodied AI. We are looking for exceptional candidates in any of them. This round we especially want two
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robotics, biohybrid living systems, dexterous manipulation and robot learning, and simulation for embodied AI. We are looking for exceptional candidates in any of them. This round we especially want two
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contribute to the evolution of next-generation open-source cluster management technologies. What We Value: We value technical excellence, curiosity, initiative, and the ability to learn and grow over a perfect
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multidisciplinary field, and openness to learning new things. The PhD candidate needs to be proficient in spoken and written English and has a Master’s degree. We are offering a modern research environment and