33 scientific-computing Postdoctoral positions at Technical University of Munich in Germany
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requires experience in cognitive processes underlying food choice, context effects, experimental research, quantitative analysis, computational modeling, and eye tracking. Applications must be submitted by
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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environment that actively encourages diversity of perspectives and backgrounds, and we particularly welcome applications from women and underrepresented groups in engineering and computer science. The position
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Scientific and operational leadership of the Protein Design Accelerator in the Technology Hub Development and maintenance of computational pipelines and scripts for protein design workflows, including design
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) applicable results Publication of results in scientific outlets (e.g. journals, conf. papers, lecture contrib.) Active participation in academic self-governance, e.g., through co-supervision of Bachelor’s and
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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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for an interdisciplinary “bridge-builder” who strives for Scientific Excellence and Real-World Purpose. ● Background: HCI (Human-Computer Interaction), Computer Science, Ethnography, Sociology, or a related
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Excellence Cluster, with access to its research infrastructure, internal funding instruments, international network, and cluster-wide scientific and policy activities. About the NeuroTranslate project
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have the following: • Ph.D. in electrical engineering, physics, computational science, medical technology, biomedical computing, natural sciences, or a related discipline. • Excellent track record
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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within