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-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling, multiphysics systems
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combine advanced numerical modeling with experimental demonstrations to investigate electromagnetic wave propagation in time-varying THz waveguides. Job description Develop numerical simulation
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. Preference will be given to candidates with a strong background in gravitational wave detection, gravitational wave cosmology, gravitational wave data analysis, and/or numerical relativity
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partners Development of advanced optical instrumentation and experimental methodologies Data analysis and numerical modelling Close collaboration with researchers from the participating ETH research
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, neutrino- matter interactions, and modern AI/ML methods are particularly encouraged to apply. The position is for two years, with extensions possible for up to one additional year. Applicants should
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pipelines for transcript derived measures, including validation against human coded gold standards Analysing experimental and operational data using appropriate causal and psychometric methods
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humanities or other relevant fields may be considered on an individual basis. Candidates must demonstrate solid knowledge of relevant theories and methods necessary to carry out the proposed PhD
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methods and causal inferences in their research on climate health to drive innovative solutions are particularly encouraged to apply. · Candidates with expertise in policy, the ability to engage with
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, Research Methods in Communication, and other upper level Communication electives. A minimum of two years of teaching experience in a college or university setting is preferred. Candidates with doctorate
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policies and practices Ability to collaborate in multidisciplinary health care teams to address specific diet and nutrition needs Knowledge of general principles, methods, materials, and resources