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-month PostDoc position in modelling land-cover change at watershed-scale. Project Overview Deep-C brings together a consortium of experimentalists and modelers to explore the coupled carbon (C) cycling in
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and to mentoring students. Research Environment and Supervision: The postdoc will be a member of the Astroparticle and Cosmology group at LAPTh, and will be supervised by Dr. Francesca Calore, with
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sensors dedicated to the mid-infrared. This work is funded by several ongoing ANR projects within the research team. This position may be renewed once for an additional period of between 18 and 24 months
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-dependent spectral phase and delay. The postdoc will develop the associated spatiotemporal metrology, integrate the flying-focus optics into high-intensity beamlines and carry-out laser-plasma acceleration
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2026. This position is funded by the ENIGMASS+ federation and is primarily intended for early-stage postdocs with up to two years of experience since obtaining their PhD. We are seeking highly motivated
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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experienced candidates could also be considered. The candidate should have a good command of English. While knowledge of French is not mandatory at start, the postdoc would be expected to learn spoken and
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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spontaneous orbital ferromagnetism. The research will combine advanced sample fabrication, optimization of magnetic sensors, and low-temperature, low-noise measurements of the transport and magnetic properties
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a dynamic trinational network including French, German, and Swiss laboratories. This exceptional location in the heart of Europe offers an ideal environment for young scientists through technical and