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European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include
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analyzing whole organism models (zebrafish and mouse) to dissect the pathophysiology of a recently identified rare pediatric neurometabolic disorder. The approach involves mainly deep longitudinal phenotyping
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well as computational modeling. The development and numerical implementation of novel methods has become a key issue in modern oncology, both in terms of understanding the biology of cancers and for medical oncology
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emphasis is given to numerical simulation to reduce the required experimental effort, but the validation of the models on laboratory setup will remain an essential asset. The Department of Engineering (DoE
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Exploit an existing clinical database containing numerous follow-up FDG/PET exams o Develop modeling methods for the time-series analysis of PET-CT data o Develop a methodological formalism for integrating
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the geometrical variability in imaging data. During the project, the candidate will: o Exploit an existing clinical database containing numerous follow-up FDG/PET exams o Develop modeling methods for the time
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reconstruction is formalized in mathematical terms as an inverse problem with regularization. In the morpheme group we have proposed model-driven approach (e.g., COL0RME [1]) as well as model-based data-driven
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Domaine Mathématiques, information scientifique, logiciel Contrat CDI Intitulé de l'offre Power Systems Modelling Specialist H/F Statut du poste Cadre Description de l'offre Within the Institute
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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-scale datasets and advanced modelling approaches, to study patterns of multifaceted climate extremes. A strong focus will be on the combination of available data, methods, and tools from the climate