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efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation of models on patient-specific geometries obtained from MRI data Participation in conferences
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, mathematics, statistics, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples for testing
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distinctive feature will be the adaptive control of mobile sensors to optimize data collection and further reduce uncertainties. This PhD strives for strong scientific impact, contributing to global emission
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biologic therapy, integrating data from clinical trials and real-world studies. The model will be used to simulate and evaluate optimized dosing strategies for special populations, including hard-to-treat
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planning methodologies and in mathematical optimization techniques We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and
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this vital field. ACHILLES is supported by experts in hemato-oncology and experimental therapeutics, integrating research on biomarkers and therapeutic targets, mathematical and computational modeling, therapy
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: Modelling of optimization problems mainly related to the indicated line of research, as well as the design, implementation, and validation of algorithms to solve them Where to apply Website https
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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20 Dec 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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Framework Programme Horizon Europe - MSCA Country : France City : 49045 ANGERS Cedex Organisation/Institute Organisation / Company : Institut Agro Department: Applied mathematics and Computer Sciences