1,992 computational-physics "https:" "https:" "https:" "https:" "IFM" positions in Germany
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
, public health, biology, anthropology, economics, computer science, and allied fields. The successful candidate(s) will work on the role of genetic factors in shaping health inequalities, and/or they will
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Description The group “Physics of molecular and biological matter” at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics (m/f/d, E13 TV-L, 50-75%) The position
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in the deep ocean and help unravel how life emerged on earth. Requirements As a suitable candidate, you have an outstanding Master's degree or comparable degree in physics or a related discipline. You
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, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches, the project will
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to apply for the vacant position. Applications from severely disabled persons will be given preference if they are equally qualified ( sbv.desy.de ). You can find further information here: https
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/active-fellows/senge-mathias/ https://www.groups.ph.tum.de/e20/startseite/ https://www.groups.ph.tum.de/nanosurfs/home/ Requirements: Ph.D. in chemistry or physics with experience in nanoscale science, a
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site in Heidelberg, invites international students holding a Master’s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology / public health
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. 5 MB; packed PDF documents, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) and use the button “e-mail application” below. https://jobs.zalf.de
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and two reference contacts until the 15th of December online via (Shortlink to applyform) https://mtj.jobs/3322095 For further inquiries, please contact: sandra.schickinger@uniklinik-freiburg.de General
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is