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the University of Strasbourg. This position at the interface between material science and pharmacology research will start the 31 May 2026. This is a full-time position for a maximum of three years. PhD researcher
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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available1Company/InstituteLaboratoire Interfaces et Systèmes ElectrochimiquesCountryFranceCityPARIS 05Geofield Contact City PARIS 05 Website http://www.lise.upmc.fr STATUS: EXPIRED X (formerly Twitter) Facebook
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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interfacing with biology. Postdoctoral Researcher in Cellular Biology • PhD in cellular biology, molecular biology, or related fields. • Experience in cell culture and cellular imaging. • Experience in protein
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foundations of agentic reasoning, in close dialogue with complex real-world problems. Essential requirements: PhD (or near completion) in AI/ML/NLP, Computer Science, or related * Strong research track record
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join a multidisciplinary research team at the interface between physics, engineering, and clinical research, including scientists, engineers, physicians, and PhD students. The position involves close
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
6 Jan 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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Computer science » Programming Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Mar 2026 - 17:00 (Europe/Rome) Country Italy Type
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interdisciplinary research environment at the interface of computational mechanics, mechanical/civil engineering, and scientific machine learning. The PhD candidate will also have opportunities to present their work