31 parallel-and-distributed-computing "Multiple" PhD positions at Nature Careers in Germany
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. In the departments
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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, (bio)informatics, and multimodal data analysis. The research group focusses on the mechanisms of Hypothalamic-Pituitary-Gonadal (HGP) axis regulation that governs human reproduction. The group
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, (bio)informatics, and multimodal data analysis. The research group focusses on the mechanisms of Hypothalamic-Pituitary-Gonadal (HGP) axis regulation that governs human reproduction. The group
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-01-01), together with leading researchers across Europe. You will become part of a cohort of 13 PhD students jointly trained in modern biophysical techniques involving both computational and
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institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM), Chair
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to apply. The University is a family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with
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-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German
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established Systems Neuroimmunology Laboratory at LMU Munich (www.m-kaufmann.com ) is seeking a motivated and creative PhD candidate passionate about combining immunologic methods and advanced computational
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productivity. Multiple coordinated observing strategies, including research vessels and a large ensemble of autonomous platforms, will collect physical, chemical, and biological datasets across scales