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in land-surface, (hydro)meteorological, hydrological, or urban climate modelling (e.g. RANS and LES) — or strong motivation to learn these tools during your PhD — along with an affinity for surface
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to learn them. Affinity with biometeorology, human thermal comfort, and heat indices, with an interest in connecting environmental science to public health data; Solid analytical, programming, and writing
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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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Helmholtz Investigator Group , for example. As an Investigator Group leader, junior scientists can independently set up their own group to conduct research in their specialist field and acquire management
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
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industry and academia together to drive pre-competitive, fundamental research in polymers. We welcome applicants with interests in polymer physics, materials processing and characterisation, machine learning
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, and machine-learned force fields to describe ion transport and interfacial evolution. These models will be extended to mesoscopic and continuum scales (kinetic Monte Carlo, phase-field) to capture
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or complementing traditional physics-based approaches by data-driven ones, using Machine-Learning (ML). Such approaches allow enormous gains of time, in a way that can be related to the astonishing efficiency
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that German skills are not required for the positions. If you would like to learn the language, German courses are available. What you have done in the past Depending on the position that is more
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neuroscience, brain circuit imaging and atlas mapping, and machine learning and AI - that will expand a cross-college team studying the brain circuits underlying craving, reward, and addiction. The hire will