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Degree PhD Course location Potsdam In cooperation with This programme is offered by the Faculty of Digital Engineering, a faculty jointly founded by the Hasso Plattner Institute (HPI) and the
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content ENWAT (Environment Water) is facilitated by the Civil and Environmental Engineering Sciences Department
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at the participating laboratories, including platforms for NMR, X-ray crystallography, cryo-EM, and light microscopy; the Genome Centre with next-generation sequencing technology; and the Proteome Centre Tübingen
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
NewATHENA, MPE is responsible for testing the optics of the new X-ray satellite using its X-ray test facility PANTER. To meet the requirements of this mission, a new microfocus X-ray source is to be
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engineering sciences. The position also includes teaching duties (1 semester hour per week) as well as the supervision of term papers and theses. Required qualifications Applicants must hold a completed
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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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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to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2026D-006 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers
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actionable insights You will take on real responsibility early on, working closely with senior scientists, industry experts and founders. Your Profile MSc or PhD (completed or near completion) in: Biology
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning