148 postdoctoral-image-processing-in-computer-science PhD positions at DAAD in Germany
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Sciences, Geosciences or related field Possess a solid background in geochemical processes (e.g., sorption, speciation, radionuclide transport) Complement the chemical expertise with some experience in
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: university degree (Master or diploma) in physics, biology, computer science, or a related field excellent background in RDM principles and FAIR data practices, ideally gained in a scientific environment
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serves to support a doctoral programme. The position is temporary for the duration of the doctoral process, but initially up to 3 years. An extension for the completion of the doctorate is possible within
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molecular biology techniques and smFISH. Conduct multi-omics data integration across experimental platforms (e.g. NGS, Imaging time lapse, particle tracing) Collaborate with interdisciplinary research teams
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong basic research program, our long-term goal is to develop innovative therapeutic approaches to better
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Description DAAD Graduate School Scholarship Program (GSSP) in Experimental Geosciences The Doctoral Program of Experimental Geosciences at the University of Bayreuth has been awarded a
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the following fields: PhD in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in the programme
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Description The International Max Planck Research School for Biology and Computation (IMPRS-BAC) is now recruiting doctoral candidates for a start in 2026. We seek exceptional graduates from
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process