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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 15 days ago
Job Code: 26/012 Job Offer from April 01, 2026 The Max Planck Institute for Plasma Physics (IPP) is one of the world"s leading centers for fusion research. With around 1100 dedicated employees in
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workflows. Your Profile Master's or PhD degree in bioinformatics, computational biology, statistics, computer science, physics, molecular biotechnology, or a related discipline Prior bioinformatics training
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On-going master studies in Data Science, Database Systems and Information Management, Computer Science, Physics or Applied Mathematics Knowledge of signal processing, Data analysis and Data handling Interest
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Description BioHYBRITE (Decoding and designing biomolecular systems with hybrid DNA:RNA:protein nanotechnology) is funded by the Marie Skłodowska‑Curie Actions (MSCA) Doctoral Networks programme and
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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results Your profile Completed university studies (Master) in the field of Chemistry, Radiochemistry, Geology, Mineralogy, Physics or related field Experience in experimental methods for analyzing reactive
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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industrial and economic perspective. What you contribute Academic university degree in computer science, engineering or natural sciences including a PhD or equivalent qualification Experience in research
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarship is aimed at refugees who are studying at German institutions of higher education. Candidates from all
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or computational approaches to study biological systems in close collaboration with experimental groups at the MPI-CBG and the TUD. Ideal candidates should have backgrounds in physics, computer science, mathematics