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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
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research. The candidate should have a PhD degree in Physics, Chemistry, Chemical Engineering or Materials Science and insight in catalysis. It is essential that the candidate has experience with synthesizing
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Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, bioengineering, computer science, physics, or a related field Strong scientific curiosity, motivation, and rigor Strong communication
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; Alshareedah et al. Nat Physics 2024; Posey et al JACS 2024). In this project, we will define sequence-encoded conformational preferences, driving force for phase separation and emergent properties of other
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; Alshareedah et al. Nat Physics 2024; Posey et al JACS 2024). In this project, we will define how IDRs with different types of molecular grammars encode different emergent properties. Position Responsibilities
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project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment This is a 2–year position from 1 October 2025 or as soon possible. Job description You will be
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process in Germany Health Promotion: Sports, company doctor, mental health initiatives Interested in applying? If you have any questions, feel free to contact Julia Schlehe (julia.schlehe@helmholtz
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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We are pleased to announce a postdoctoral position focusing on developing advanced computational techniques to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission