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Education Appropriate PhD in biochemistry, chemistry, chemical biology, structural biology, molecular biology, microbiology, or a closely related field. Preferred Qualifications: Strong demonstrated expertise
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
-10346 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Signal Processing, or a closely related field, completed or nearly completed at the start date. Strong background in
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Researcher (R3) Application Deadline 22 Jul 2026 - 00:00 (UTC) Country Morocco Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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separation science and technologies for energy applications. Support research and program-development activities in advanced separation and purification, including the recovery of critical materials used in
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postdoc candidate, with a keen interest in academic and professional development, who meets the following requirements: a PhD degree in computer science or artificial intelligence; demonstrable machine
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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15 Aug 2026 Job Information Organisation/Company Leiden University Research Field Biological sciences » Biodiversity Computer science » Programming Researcher Profile Recognised Researcher (R2
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biochemical, cell-based, immunologic, imaging, and/or computational assays as appropriate to project goals, including assay-development and drug-discovery workflows. Analyzes research data, summarizes results