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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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computational plasma physics Excellent understanding of mathematical modelling, especially for plasma physics in 1D, 2D and 3D Experience with Particle-In-Cell (PIC) code development and kinetic models Experience
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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: - Hold a PhD in Geography, Agronomy, Ecology, or Computer Science. - Expertise in spatial modeling and foresight analysis applied to social and environmental sciences. - Theoretical knowledge in land use
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profile PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics Research
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. Almost 200 people contribute to the research at the LBBE that brings together mathematical modelling and IT to answers questions in ecological, evolutionary and health (humans, animals) sciences. The LBBE
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The candidate will be in charge of developing clonal patient-derived organoid (PDO) models from resections. The candidate will be in charge of developing clonal patient-derived organoid (PDO) models
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can be found at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis
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content near end-users. However, they still rely on a hierarchical and centralized network model. Peer-topeer systems like IPFS are the second class of candidates, but they lack robust guaranteesconcerning