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Field
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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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programme (see below), this 4-year PhD project examines a fundamental challenge for the ethics of technology: how to approach the assessment and guidance of socially disruptive technologies (SDTs) in
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, intensely interested in both health technology assessment (including health economics) and organ transplantation. The applicant should be motivated to participate in an interdisciplinary research program 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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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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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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PhD Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization (1.0 FTE)
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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you like to work in a friendly and collaborative environment? Then you might want to join our young team as a PhD candidate! The Faculty of Science Leiden and Leiden Institute of Chemistry (specifically
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in open fields, while also embracing data science, smart electronics/devices, computer programming as central to your work? Do you want to contribute to creating future-proof regenerative agricultural
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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40