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, Statistics and Physics at Newcastle University, will be responsible for constructing, running and analysing simulations of the outer layers of Hot Jupiters. This will require a strong theoretical background in
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running will enable us to add a temporal dimension to the project and develop a quasi-causal approach. Where to apply E-mail nicolas.deguines@univ-poitiers.fr Requirements Research FieldBiological sciences
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digital twins with quantified uncertainty. This project will develop a measurement-science-driven digital twin framework for energy assets, initially demonstrated on PV modules/fields and battery systems
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learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics. Experience in deep learning, computer vision, or neural network development. Experience with
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signals is hard. Real-world data is noisy, assumptions don't always hold, and the stakes of getting it wrong are high. You'll use and help further develop an open-source Julia-based toolkit, developed by co
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nm) and over long timescales (10-100ps). To meet these objectives this project aims to further develop our recently introduced non-adiabatic molecular dynamics simulation method, termed excitonic state
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, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable. The PhD projects are highly interdisciplinary
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declaration of honor on how (s)he completed the bachelor’s degree by the end of the application deadline; Registration of recognition of academic degrees awarded by foreign higher education institutions and
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knowledge of statistical analysis (e.g., R or equivalent) Openness and motivation to apply for a student grant or external funding during the PhD Additional advantages (not required but welcome): Experience
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) within the Odense Child Cohort (OCC). PFAS levels have been measured during fetal life, and at 18 months and 5 and 7 years. The project does require biological knowledge and statistical skills