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. The aim is to explain experimentally observed metastable behavior and to identify strategies to minimize or control such effects. The simulations are performed on the JURECA high-performance computing
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at internal and external meetings. Successful applicants: had a completed university degree (e.g. master, diploma) in biology, neurobiology, biophysics, physics or engineering and already hold or will complete
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focus on business and management (e.g. business administration, industrial engineering, business informatics or economics), informatics or natural sciences/engineering with an outstanding degree (resp
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students). Requirements * PhD degree in Computational biology or related (Computer Science, Physics) or at least 3 years of experience in scientific software development * Experience with NGS data processing
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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Engineering, Operations Research, Civil Engineering, Computer Science, Data Science or a related field, from a university/department with a strong international research reputation Strong mathematical and
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Requirements: completed scientific university degree (e. g. Master's or Diploma) in physics, mathematics, computer science or a related field knowledge of information field theory and in the development and
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Single-shot Reinforcement Learning What you bring to the table Enrolled in one of the following or related fields of study (Bachelor/Master): Computer Science, Data Science, Mathematics, Physics
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Integrating Biology , Physics , Chemistry and Computer Science , the International Max Planck Research School for Cell, Developmental, and Systems Biology trains talented young researchers seeking
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Programme for Future Leaders in Science The International Max Planck Research School for Molecules of Life (IMPRS-ML) is a centre of excellence for the training of doctoral researchers in the areas