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Experience1 - 4 Additional Information Eligibility criteria Candidates must hold a PhD in condensed matter physics and have a proven track record in research, demonstrated by at least one publication as first
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research in Artificial Intelligence and its ethical, frugal, and sustainable dimensions? Do you have a PhD and a solid experience in research or R&D in AI, with a specific interest in designing models
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will benefit from access to the various platforms of the laboratory. He/she will work in collaboration with the BioFab axis (teachers-researchers, PhD students, trainees of the team) and the INSERM U1193
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role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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Stage Researcher (R1) Recognised Researcher (R2) Positions PhD Positions Application Deadline 7 Apr 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per
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ICT Services & Applications. Your role The PhD position is part of the CART-4D project, a "Made in Luxembourg" collaboration between the University of Luxembourg and ARSPECTRA . The doctoral candidate
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role We are seeking a highly motivated PhD candidate to join the IAS Audacity project AI4TECS, which investigates how advanced AI techniques can enable real‑time identification and treatment of emerging
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criteria - PhD in Life Sciences (structural biochemistry/biophysics) or chemistry of living systems. - Experience in biochemistry (protein expression, purification and quantification, enzymatic kinetics
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translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page . Your role We are looking for a highly motivated PhD candidate interested in AI-based methods
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insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical and computational models that describe how trees exchange carbon, water and