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employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 2 months ago
for the new MPC prototype, and a PhD student creating and testing automated diagnostic algorithms using unique in-vivo databases from clinical trials launched by the LPICM in collaboration with several
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of an analysis plan for data extracted from suitable databases, ideas for statistical analysis comparing single-case/small-group mutation carriers to controls, etc. Employment in the position is based on a
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this by collating data through novel interdisciplinary collection, modelling and engagement methods. These data will establish the capacity of land and land users to contribute to the net zero target as
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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-performance computing clusters, relational database design, and web development is required. Prior experience with pathogen genomic epidemiology and modelling is also desirable. Have experience training others
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Develop surrogate models to accelerate and extend turbulence simulations Apply PINNs to solve turbulence equations while enforcing physical constraints Job requirements PhD degree in physics Demonstrated
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and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental