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Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 15 October 2026 Apply now Contribute to breakthrough
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. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make
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laboratory experiments to build an eMRV framework supplementing traditional MRV. Observational approaches include deployment of passive chemical samplers, quantifying organic matter export, examining eDNA
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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, including installing field monitoring sites, standing up laboratory experiments, and helping students to understand the data collected. Minimum Required Qualifications PhD in Civil Engineering, Environmental
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inside and outside our research group to stength the research outcome. Job requirements A PHD degree in a relevant subject, such as aerospace engineering, aeronatucial engineering, atmospheric sciences
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, and the work will be conducted in the 3D growth group in The Life and Mind Building, South Parks Road, Oxford, OX1 3EL. The post holder will become a member of the 3D growth group and contribute
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independent Fellowship applications, PhD-student co-supervision. What we’re looking for * A PhD in physics/chemistry/materials science/engineering/a related discipline. * Experimental experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
, calibration, and robustness; and working with collaborators to interpret study findings. The successful candidate will be expected to lead or make substantial contributions to peer-reviewed publications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, calibration, and robustness; and working with collaborators to interpret study findings. The successful candidate will be expected to lead or make substantial contributions to peer-reviewed publications