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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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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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try again. UiO/Anders Lien 13th October 2026 Languages English English English PhD Research Fellow in remote sensing of the cryosphere Apply for this job See advertisement About the position We invite
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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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studies (QCM-D, AFM), analytics (SEC-MALS/A4F) as well as spectroscopy (NMR/fluorescence/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research
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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