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PhD position on reconstructing early to middle Eocene climate variability Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr. J.A.M. de Grefte, prof. dr. B.P. de Bruin and
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affiliated with the Rudolph Agricola School for Sustainable Development, focuses on innovative approaches to data analysis and science communication. A PhD student at BirdEyes will gain expertise in cutting
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PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
successful completion of the PhD thesis within the contract period is to be expected. A PhD training program is part of the agreement and the successful candidate will be enrolled in the Graduate School
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). The department’s laboratories are well equipped for molecular biology, cell biology, immunology, organoid culture, and omics-based analyses, offering an excellent research environment for a PhD candidate interested
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is planned as a part of the project. The work will be happening in close collaboration with a second PhD student, working in the field of analytical chemistry and supervised primarily by Dr. Laura
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at universities, such as thesis supervision and assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, human-computer interaction or similar. Self-drive
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key societal problems. About the organisation The Faculty of Geo-Information Science and Earth Observation (ITC) provides international postgraduate education, research and project services in the field
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded