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Description The Chair of Applied Mathematics at the Faculty of Mathematics and Geography at the KU Eichstätt-Ingolstadt invites applications for a position as Doctoral candidate in Applied
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Universität Berlin (Department of Biology, Chemistry, Pharmacy; Department of Mathematics and Computer Science) and Max Planck Institute for Molecular Genetics . You have: an above-average master's or
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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(M.Sc. or equivalent) or imminent M.Sc. degree in Computer Science, Mathematics, or a closely related field research experience, evidenced by publication(s) or a relevant M.Sc. thesis, good knowledge
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the field Requirements: MSc in Physics, Mathematical/Theoretical Biology, or Chemical Engineering Very good written and spoken English skills Curiosity about the mechanisms underlying life and disease Self
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. thesis supervision Requirements: university degree in Computer Science, Traffic Engineering, Computational Linguistics, Mathematics, or a related field solid knowledge in one of the relevant research areas
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, biophysical and bio-chemistry, theoretical chemistry and mathematics , to advance the understanding of the emergence of complexity in molecular systems. Our RTG combines science and research projects that start
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
; experience in disciplines including biochemistry, genetics, computer science, or data science, will be considered as assets. Moreover, candidates should be highly motivated, flexible, and integrative
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA