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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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(doctoral researcher) to enhance our research group. The candidate will contribute to the numerical modelling, the analysis, and the interpretation of marine biogeochemistry model simulations based on NEMO
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located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one
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simulation. A significant part of the work will involve scientific programming, development of numerical methods, and in-depth physical analysis of flow phenomena. The ideal candidate is passionate about new
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diffusion model on circulation fields from numerical models, enabling the generation of new fields that should be as close as possible to the observational values at the observation locations while preserving
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application of numerical models Assess uncertainties for future sea-level projections Publish results in international peer-reviewed journals Present findings at national and international conferences
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insight provided by the experimenter, using methods such as Proper Orthogonal Decomposition (POD) [8], spectral analysis, or Dynamic Mode Decomposition (DMD) [9]—which are currently being implemented in
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, however, relies heavily on people self-reporting their behaviour habits, which is limited in numerous ways, and was obtained predominantly from studies conducted in high-income countries. Wearable devices
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numerical approach The PhD is part of a Franco-German co-funded project between IFP Energies Nouvelles (IFPEN) at Lyon and the Hamburg University of Technology (TUHH), focusing on the modelling of gas/liquid
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models