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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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Technology Hub staffed with dedicated personnel for technical support, ensuring proficient operation. BioSysteM at TUM invites applications for a Postdoctoral Researcher (m/f/d) to lead and further develop
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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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excellent communication skills - Motivation for scientific work and publishing - Fluency in German and English (Please note that English alone will not be sufficient for this position.) Responsibilities As
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expected to develop and pursue your own scientific ideas and concepts. We provide structured supervision, active mentoring, and full support for high-quality scientific publishing. Our work is regularly
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning
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to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dim. problems, classical (mainly finite elements, FEM) as well as alternative discr. meth. (e.g., Lattice Boltzmann
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engineering and especially in aircraft design is required. Expertise in testing and test equipment as well as (manufacturing and) operation of high-performance model/scale aircraft is required. You should be
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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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