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satellite navigation) to support efficient, flexible, and safe AI-driven assistance. As part of this master's thesis, you will investigate how world models can be brought to field robotics using real-world
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Infrastructure? No Offer Description Start date/duration as soon as possible until 14.09.2027 Job profile: Your responsibilities: PhD thesis in the field of software engineering and model-driven engineering
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modelling, automated neuroanatomical phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored
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future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion
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data-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data
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and computational chemistry whose research lies at the interface of reactive molecular simulations and data-driven modeling. The successful candidate will develop and apply data-driven methods
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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their structure and electrochemical performance, and using this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost
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Scientific Profile We are seeking a candidate with an international profile and an outstanding academic track record who will develop an excellent research programme in the field of Chemical and Process
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alterations impact human lymphocyte development. By combining CRISPR-based genome engineering, induced pluripotent stem cells (iPSCs), and advanced thymus and bone marrow organoid systems, we study both