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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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exchange and interaction state of the art computing infrastructure (HPC) salary assigned according to the pay scale UKF standard social benefits, e.g. UKF job ticket UKF Your tasks: develop and optimize
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
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offers within the Stellarator Heating and Optimization division (E3) a position for a Postdoc (m/f/d) for pellet injector Job Code: gw25/016 Full time Limited to operate the pellet injector and improve its
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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using advanced LC-MS/MS systems. Maintain and optimize modern liquid chromatography-tandem mass spectrometry (LC-MS/MS) instrumentation. Develop and implement state-of-the-art proteomics technologies
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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." Your tasks Develop and optimize in vitro models for studying disease mechanisms and therapeutic responses. Perform comparative analysis between in vitro models and established mouse models to assess