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://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions . All our PhD students are embedded in the Leiden University Graduate School of Science. Our graduate school offers several PhD
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD positions
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of employment individual choices model, you can exchange leave days and/or salary for benefits such as an advantageous sports subscription and bicycle scheme; All our PhD candidates are embedded in the Leiden
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PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
of the interactions between the nanomedicine and cellular membranes. The PhD position will work under supervision of Prof. Daniela Kraft, whose group is embedded in the the Smart Living Active Matter
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a quantitative understanding of the interactions between the nanomedicine and cellular membranes. The PhD position will work under supervision of Prof. Daniela Kraft, whose group is embedded in
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for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project description Current Natural Language Processing (NLP) systems, and especially large language models
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set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break. All our PhD students are embedded in the Leiden University Graduate School of Science
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because language, in the training of these systems, is treated mainly as data rather than as a social practice shaped by people, culture, and context. This PhD project investigates how to make NLP systems
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the Netherlands may be eligible for a substantial tax break. All our PhD students are embedded in the Leiden University Graduate School of Science https://www.universiteitleiden.nl/en/science/graduate-school
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are looking for a PhD student to work on Cryptographic Hardware and Design Automation. The project is oriented towards the development of a domain-specific design automation framework for cryptographic hardware