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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
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the disc is an added advantage. Career growth: The candidate will have the opportunity to co-supervise PhD students. Optionally, the successful candidate will have the opportunity to mentor master’s students
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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. Commencement into the program is contingent upon PhD thesis submission 3. Fellowships: During their time at MPG, postdocs positions are according to the German regulations and guidelines, and based
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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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molecular properties for comparison with experimental results. Requirements: Completed university degree (M.Sc or Diploma degree) in Chemistry or a closely relatet field and PhD / Doctoral degree in Chemistry
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; you will communicate findings in meetings, publications and international conferences. Essential requirements: academic degree (MSc/PhD) in a relevant field (e.g., computer science, bioinformatics
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: Heidelberg Job Category: Science and teaching Working hours: full-time (100 %) Published: 28.10.2025 Limitation:Temporary (24 months, extension is sought) Contract:TV-L Your Profile PhD in a relevant field (or
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publish in peer-reviewed journals Your Profile: Master and preferable subsequent PhD in computer science, natural sciences, mathematics, or a related field, with a strong scientific record documented
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and