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and material characterization. Experience with electrochemical methods and material synthesis. Ability to work as a member of an international, multi-disciplinary team. Excellent communication and
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High motivation to take on responsibility and develop own research idea Willingness for regular business trips Our Offer: We work on the very latest issues that impact our society and are offering you
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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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receptors in living cells, the role of ligand binding and ligand-independent mechanosensing. The European Institute for Molecular Imaging (EIMI) is an interdisciplinary institute within the University
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intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. 70 professors from various TUM faculties
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of green hydrogen by use case. Beyond the economic feasibility, a particular focus of this position will lie on the evaluation of different development pathways when deploying green hydrogen infrastructure
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adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG) Collaboration with interdisciplinary teams to enhance model performance
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, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication
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integration. Role: Apply ML to barley genomic data, emphasizing gene regulation and genetic variation Collaborate with geneticists, breeders, and industry partners to move research toward applications Explore