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the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU); 8% holiday pay and 8.3% year-end bonus; a pension scheme, partially paid parental leave
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(algorithms), and statistics. During this project, you will develop new methods to construct phylogenetic networks and generalize mathematical frameworks of phylogenetic network classes to tackle related
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to explore your passion for geology and geomorphology, study debris-flow processes, and build a strong research career in the growing field of natural hazards. To support academic and personal development, PhD
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research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how art and artistic research can be embedded in ongoing and emerging work on climate justice. They will
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candidates to study (PhD1) abiotic signals that regulate below‑ground development and (PhD2) above-ground responses of to stress and source–sink relationships of three novel protein crops — quinoa, white lupin
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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Description Challenge: Uncovering the interdependency between telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency
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to investigate how current farming systems can be diversified with quinoa, white lupin and/or aardaker (Lathyrus tuberosus) as novel protein crops. The PhD position will focus on developing knowledge of cropping
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exploitation of PRIDE (Planetary Radio Interferometry and Doppler Experiment) observations by developing and applying open, reproducible analysis pipelines for deep-space mission tracking. You will be embedded
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from