3 computational-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" "O" positions in France
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for four years. The project involves multiple partners: • OTFT characterizations : L2n-URCA Reims (O. Simonetti) • Polymer synthesis: ICPEES Strasbourg (N. Leclerc) • Material deposition: ICS Strasbourg (M
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within a coherent computational model is currently challenging, due to the typical large dimension and complexity of biomedical data, and the relative low sample size available in typical clinical studies
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file named in the following format: LAST NAME of the candidate_Last Name of the supervisor_2023.pdf Description of the topic: Federated learning (FL) enables multiple stakeholders to collaboratively
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