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Field
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(mHM, RIM2D, FLEMO) to the project catchments for current and future climate Integrate selected flood adaptation measures in RFM Develop climate factors for extreme rainfall and flooding Develop extreme
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Details Title Postdoctoral Research Position in AI for Healthy Climate Adaptation School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description Position
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(https://balzer-lab.org ), investigating how human kidneys adapt to organ loss. Our lab studies how human kidneys regenerate after organ loss using cutting-edge single-cell and translational approaches
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beyond traditional error estimators, creating physics-based adaptation algorithms that intelligently predict where refinement will be most beneficial for smarter, more efficient simulations. We seek
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 9 hours 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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Department This position is part of a new Advanced Research + Invention Agency-funded project, subject to contract negotiations, part of the Accelerating Adaptation programme (see https
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field, has hands‑on experience in autoimmune disease models or adaptive immune modulation, and is comfortable integrating materials science with biologic assays. Qualified applicants must have experience
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that will enable researchers to capture genetic history more fully and investigate how structural variants influence human health, bacterial adaptation, and the productivity and resilience of crops and
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Paris, September 2026 Position: A post-doctoral position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, https://research.pasteur.fr/fr
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centers on 3D segmentation and the adaptation of foundation models to volumetric biological data. This includes: Evaluating and adapting promptable and automated segmentation models for volumetric