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the following responsibilities: Designing and performing experiments to study skin regeneration, inflammation, and fibrosis using human tissue samples and preclinical models. Applying advanced molecular and
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university regulations。Applicants should hold a Ph.D. degree, be under 35 years old, and have a background in immunology, molecular biology, or intestinal model research. Preference will be given to candidates
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of brain and other mouse tissues.•Animal experimentation, including injections, perfusion, etc.•Molecular and cellular biology experimentation (e.g., PCR, Immunoblotting, cell culture)•Maintenance
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-implantation deformations of the devices and their influence on blood flow dynamics. Alongside computationally intensive, fully resolved simulations, the project employs porous media surrogate models and their
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planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and manipulation strategy adaptation Real-world
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, medical imaging, pathology, molecular biology, and biostatistics. The resulting international biobank of precisely characterised tumour samples provides the basis for countless research projects and opens
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/forschung/gruppen/numerical-analysis/research/ Typical responsibilities you can expect: Mathematical derivation, analysis, and comparison of models, methods, and simulation approaches Formal proofs, e.g
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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. The successful candidate will integrate multiscale first-principles modeling, sparse symbolic regression, and adaptive experimental design in self-driving laboratory settings to elucidate both desired catalytic