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or therapeutic proteins would be an advantage. - Knowledge of native mass spectrometry and/or ion mobility would be an advantage. # Practical skills - Design, optimize, and implement experimental protocols
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the knowledge generated to improve cancer diagnosis, prognosis, and therapy, within a continuum linking basic research to innovation for the benefit of patients. Job description Laboratory - CellAction CellAction
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journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
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representativeness. The objective of the Curie Institute Research Center is to develop basic research and to use the knowledge produced to improve the diagnosis, prognosis, and therapeutics of cancers as part of
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, acceleration, algorithms for optimal transport or generative AI). A good knowledge of Python programming (for AI, optimization) is highly desirable. Website for additional job details https://emploi.cnrs.fr
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MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | Montpellier, Languedoc Roussillon | France | 6 days ago
transferrable skills provision by establishing exciting and attractive academic and transferrable skills modules. In the different Area of Knowledge of the HINA programme, a specific programme of specialisation
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interaction research. The postdoctoral researcher will contribute to the design and optimization of biomaterials, their biological characterization and the functional validation of the developed models
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mobile base, an arm, a gripper, a learned policy, a safety module). Each agent runs its own specialized solver and is coordinated to a common, dynamically feasible plan through distributed optimization and
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), with metal chemistry, coordination chemistry, and organometallic chemistry as core areas. The institute benefits from several state-of-the-art technological platforms and highly efficient knowledge
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to power and energy systems • Proficiency in Python, with experience using optimization frameworks such as Pyomo or Linopy and optimization solvers • Knowledge of advanced optimization and decomposition