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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications The candidate must hold a PhD in organic chemistry or medicinal chemistry. Experience at the interface between both molecular
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the industry partner involved in the project Contributing to grant deliverables, presentations, and reporting Write high quality scientific manuscripts Contribute to our education program Train BSc, MSc and PhD
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Switzerland Application Deadline 1 Mar 2026 - 23:59 (Europe/Zurich) Type of Contract Temporary Job Status Full-time Hours Per Week 41.5 Is the job funded through the EU Research Framework Programme? Not funded
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. The PhD projects are highly interdisciplinary, situated at the interface of microengineering, physics and medicine and will focus on the development and clinical validation of advanced point-of-care
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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programme at the interface of genome editing and cellular immunotherapy. We offer A five-year appointment that includes a competitive salary (60 000 – 77 000 EUR/year) within a 1,000, 000 EUR core funding for
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, organisational/community design) • Interaction Design (e.g. design-oriented HCI, user experience and interface design, research through design, design methodologies, interactive computing) Candidates are expected
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Informatics, Research Group Research-Development-Innovation is looking for a PhD-student with a doctoral grant. We invite applicants for a fully funded PhD position in machine learning, AI, and data science for
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the position We invite applications for a fully funded PhD position on the networked systems mechanisms, data paths, and open interfaces needed to support safe and efficient use of Generative AI (GenAI