158 computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in France
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Description of the offer : The proposed project aims to assess the spin-charge and orbit-charge conversion efficiency of various systems (oxide 2DEGs, Rashba interfaces, etc) using spin-pumping from ferromagnetic resonance (SP-FMR). The samples will be patterned to perform broadband FMR with...
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
.), along with a dynamic and stimulating work environment. Searched Profile • MSc Level in data science, applied mathema/cs or biomedical engineering. • Mo/vated by mathema/cal modelling and AI • Eager
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on site, as well as the Center for Innovation in Human Audiology and 20 other technology platforms including biostatistics at the Institut Pasteur Campus (Paris 15th ). Priority will be given
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Internship duration: 6 months Level: Master 2 Neural Circuits & Behavior team, headed by Tihana Jovanic. Identifying disease-associated behavioral signatures in Drosophila larval models of neurological disorders Neurological disorders involve progressive dysfunction and degeneration of the...
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The Socio-Economic, Environmental Health and Health Services (CARES) research group in the Department of Precision Health is recruiting a Postdoctoral Fellow in Environmental Epidemiology. CARES adopts an interdisciplinary approach to research on health disparities, environmental health...
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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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Description of the offer : Join a pioneering project focused on using femtosecond laser pulses to control magnetization in magnetic heterostructures and nanostructures. On groundbreaking work at IJL [1-7] and in collaboration with research laboratories close to magnetic storage applications, you...
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented in the training data and can naturally arrive during deployment (i.e., a distribution shift),...