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for a two-year postdoc position. The position will include a competitive salary based on the candidate’s qualifications; benefits include medical and dental insurance, free furnished housing on the KAUST
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neuroscience, or computational neuroscience. The postdocs would be part of a multidisciplinary neural engineering and behavioral neuroscience team to study neural mechanisms of drug self-administration and
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engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 28 Aug 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the
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, or problem you might like to explore as a postdoc. Applications will be reviewed on a rolling basis and all applications to the Liu group should be submitted exclusively though the EIT job portal
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topics.The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in
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to the transition towards net-zero carbon emissions? The group of Prof. Anqi Wang at KAUST is recruiting several postdocs to join our dynamic team. Our research is highly collaborative and interdisciplinary
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 1 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through
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Postdoctoral Fellow (two open positions) in the High Energy Neutrino Group in the School of Physics.
and department. • Contribute to collaboration with other postdocs and students. Required Qualifications Applicants must have: • A Ph.D. in High-Energy Physics, or a closely related field. • Substantial
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» Nuclear engineering Engineering » Control engineering Engineering » Mechanical engineering Physics » Electronics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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chickens’ Campylobacter susceptibility. The postdoc will have a leading role in the large-scale multi-omics (“hologenomic”) data analysis to integrate/synthesize the genomic, transcriptomic, metagenomic, and