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and numerical tools, conduct feasibility studies and elaborate realistic proposals and will contribute to the data analysis of the experiments possibly inspired by the theoretical work. They will
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analysis techniques, including stochastic processes and machine learning; expertise in analytical and numerical modelling of gravitational-wave sources, and the astrophysical processes governing
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English PhD Research Fellow in remote sensing of the cryosphere Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in remote sensing
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will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can
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) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research activities across groups based in: Pharmacy, Theoretical chemistry, Medicine, Microbiology and
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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models
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Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in non-human primate immunology and virology or analysis of spatial omics data to join an interdisciplinary team
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and perform numerical simulations To be successful at Level B please address the selection criteria A PhD or equivalent in data science, social network analysis, mathematical modelling, statistics
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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general
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Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning