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group boundaries. Data : Leveraging existing datasets (e.g., Statistics Netherlands [CBS] administrative microdata on employees linked to organizational surveys) and collecting original data (e.g
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Exploiting the Geometric Landscape of Infinite-Dimensional Sparse Optimisation” led by Dr. Marcello Carioni at the University of Twente. More information about this here . Infinite-dimensional modelling has
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independent scholarship with collaborative, practice-oriented engagement. Must-have qualifications: a completed (Research) Master’s degree in Media Studies, Communication and Information Studies, Education and
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motivated PhD Candidate to strengthen our team. The position aims to use Earth Observation data to improve understanding and modelling capabilities to provide more reliable projections of future fire dynamics
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research prototypes that the community can benefit from. The SCS group is internationally recognized in the broad areas of systems, AI, and data security and is unique for its collaborative and friendly
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PhD Position on Parameterized and Fine-Grained Complexity of NP-Hard Problems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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philosophical approaches; Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological phenomena; Develop strong skills in experimental methods, data analysis and
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to accurately analyse and interpret research data and apply scientific literature. Strong communication skills in English, both spoken and written. This PhD position is part of an EU Doctoral Network, which
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existing datasets and set up new studies, collecting samples from horses and performing laboratory experiments followed by data analysis. Techniques such as 16S rRNA sequencing, shotgun metagenomic
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3D printers, furnaces, centrifuges, and microfluidic devices. Meticulous data recording and analysis are essential, as the project combines practical engineering with fundamental physical chemistry