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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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group at University of Luxembourg, led by Prof. Jan Lagerwall (project coordinator), the Soft and Biofunctional Materials group at NOVA University Lisbon, Portugal, led by Prof. Maria Helena Godinho, and
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the German Research Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke, Dr. Marlen Fröhlich (both Tübingen) and Prof. Dr. Manuel Bohn
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. The student will be supervised by Prof James Goulding (Nottingham University Business School) and Prof Tracey Thornley (University of Nottingham), Dr Alex Elliot, Dr Nicola Love and Prof Charles Beck (UKHSA
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of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
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The Institute of Material and Process Design at the Helmholtz-Zentrum hereon is offering a 4-years PhD position in the area of machine learning and computer simulations. The focus of the PhD project
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behavioural infection risk drivers. Microsimulation Modelling: You’ll build detailed models simulating people’s daily lives - their decisions, children’s interactions, influence of pets and home/nursery
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Assoc Prof Liton Kamruzzaman, Prof Hai Vu, Prof Graham Currie, Prof Eric Miller (University of Toronto), and Prof Roger Vickerman (University of Kent). Together, the team aims to: Define sustainable size
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multidisciplinary team and use state of the art methods such as Nanoindentation, Raman Spectroscopy, Digital Light Processing, Two-Photon Lithography, Electron Microscopy, and Numerical Simulations. Your research
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systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated