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a fellow PhD candidate and a postdoctoral researcher on integrating differential privacy into the generative pipeline, balancing privacy guarantees against data utility. You will contribute to an open
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internal mixing, as well as the realism of bottom boundary flows over complex ocean topography. From an applied perspective, the goal of this thesis is to integrate these developments into the NEMO ocean
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amplification” while maintaining structural integrity and repeatability. Research objectives The PhD student will develop and test electroactive morphing structures that deliberately exploit mechanical
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to integration of broader biological data into the diet–mental health relationship by incorporating gut health indices (e.g. short‑chain fatty acids, intestinal permeability markers), omics data (untargeted
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. • Disseminate scientific results: writing papers, conference presentations, participation in field/sea campaigns and in the life of the team. • Contribute to integrating the derived dissolution kinetics into a
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model (ontology) to describe and annotate detected changes using the Semantic Web (RDF, OWL, SPARQL) - Integrate the results into a geographic knowledge graph (KG) - Enriching the KG by integrating
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modelling and computational neuroscience to human mobility behaviour; Modelling how people build and update internal representations of urban space; Integrating behavioural data with neurophysiological
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Profiling: Performing and analyzing state-of-the-art single-cell RNA sequencing (scRNA-seq) alongside bulk and single-cell epigenomic assays. o Data Integration: Collaborating with data scientists to map
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KNMI’23 and new insights of IPCC) and climate adaptation pathways for arbitrary horizon years, enabling the financial sector to quantify climate effects on portfolios; Building AI methods to integrate
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the computational models, and for informing new in vitro experiments. As a PhD candidate, you will become an integral part of a dynamic and multidisciplinary environment of engineers, biologists, and clinicians