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laboratory at Université Savoie Mont Blanc, and the MRM laboratory at the University of Perpignan Via Domitia. The project aims to investigate individuals’ emotional experiences in response to visible
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Biomechanics, Mechanical Engineering, Robotics, Bioengineering or related field* Strong background in experimental biomechanics and/or robotics* Experience with microscopy and image analysis (a plus)* Strong
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/Qualifications The recruited candidate should have proven experience in experimental work (setup, data processing, and analysis of results). Skills in nonlinear numerical modeling are also desired. Specific
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postdoc to pioneer next-generation thermal transport experiments on the micro-nano scale at École Polytechnique, France. Why This Position Is Exciting High-temperature superconductivity and quantum spin
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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developed in solid and structural mechanics. In the course of their previous experience, they will have developed knowledge in one or more areas of non-linear physics or solid mechanics, such as fracture
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then be to design and carry out a large-scale trial with more than 100 teachers using MIXAP. Assigned activities and expected results : • Design and conduct an experimental protocol to measure the impact
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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interactions If you meet the required education and experience but don't tick every technical skill listed, we still encourage you to apply! We value motivation, and willingness to learn, and a passion for data