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scaled up to industrial production. - Development of purification and separation methods - Structural and textural characterization of porous materials - Performance measurements in gas separation tests
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | about 17 hours ago
to confirm or challenge the initial findings. He or she will also be expected to test and develop new calibration transfer methods, including neural network approaches, notably in collaboration with
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RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
sociologists, geographers, anthropologists, economists, linguists, psychopathologists and political scientists), aims to examine the migration experience of these young people and its effects, from
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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applied to jet configurations distorted by installation effects on aircraft. Windtunnel testing will be undertaken for final validation. UPR 3346, Pprime Institute, is a CNRS unit under a specific agreement
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omics and clinical data to predict clinical outcomes of interest and therapeutics. This will include implementing and applying software analysis pipelines and interpreting disease-related data together
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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of software to validate the integrity and durability of a nuclear power plant containment structure, based on a multiphysics-multiscale approach and data to build a digital twin. • Participate in consortium
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), and English language test results (optional). Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus
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Coupling of physics-based and data-driven models, studying when and how to switch between them in real time Integration with ARSPECTRA's software stack, e.g. marker tracking, SLAM, gaze tracking, and