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. The lab is seeking Posdoctoral Associate who are passionate about discovery, driven by scientific curiosity, and eager to make meaningful contributions to women's health. While technical expertise is
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theory-driven models of cognition and neural activities and data-driven predictive modeling for precision medicine. In addition to our core research questions and mission, the unit will also serve as a
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Job Code: 260916 Job Offer from September 16, 2026 The Carl-Zeiss-Stiftung group for co-evolutionary modelling of the coupled human-earth system at the MPI of Geoanthropology is looking for a
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disease using everyday devices such as smartphones, tablets and home computers. You will lead the Sheffield machine-learning research on a large acoustic foundation model for respiratory health using real
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or neural networks) on CFD data to develop a fast, data-driven wind field predictor. You will combine this surrogate model with AeoLiS and evaluate the accuracy of the new model setup by applying it to
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to science, engineering and society. You will focus on optimization-based, data-driven and partially model-based control methods. You will have access to a strong research network and a broad range of
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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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, fracture of soft materials, and modeling failure in multiphysical processes such as corrosion-driven degradation of concrete. What unites these efforts is a shared curiosity about why complex materials fail
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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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data analytics. Develop regional monitoring-driven models for evaluating variety performance, growth dynamics, and agronomic regulation strategies. Formulate future climate-driven breeding objectives and