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Field
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specific lipids and transport them another membrane to create lipid gradients. For example, phosphatidylserine is a negatively charged phospholipid whose distribution is highly uneven within eukaryotic cells
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for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems
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Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
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9 Oct 2026 Job Information Organisation/Company CNRS Department Astroparticule et Cosmologie Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 29 Oct 2026
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extending to 2100 and, where appropriate, 2300; develop and/or integrate hierarchical species distribution models and/or dynamic vegetation modelling approaches, using contemporary and historical biodiversity
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and the spatial distribution of potential reservoirs. This PostDoc position is part of the PEPR « sous-sol, bien commun » project IDYLLE (Impact of Lithosphere Dynamics and Basin Evolution
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10 Oct 2026 Job Information Organisation/Company CNRS Department Laboratoire Réactions et Génie des Procédés Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher
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an opening for a Postdoctoral Research Associate. The position is funded by Professor de la Torre’s National Science Foundation (NSF) CAREER award, “Engineering order in frustrated quantum materials via strong
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 10 days ago
research in distributed systems and software science. Our goal is to introduce greater autonomy into software systems' adaptation mechanisms, specifically to support the transition from adaptive to self
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embedded within a collaborative research program between MBZUAI and the AI for Climate initiative at the University of Chicago, supported by funding from the International Affairs Office at the Presidential