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, are reshaping them. As a PhD candidate you will contribute to this research project by developing and applying AI and Data Science techniques, with a focus on causal modeling and causal learning, to investigate
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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qualitative data to study how parents’ social network connections and resources shape their children’s career outcomes. As a PhD candidate, you will work on your own project within the SHINE programme. The aim
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negative caregiver outcomes. Methodologically, the project combines quantitative and qualitative approaches and builds on high-quality Dutch data sources. The PhD candidate will conduct multiple empirical
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. The PhD candidate will be based in the Molecular Epidemiology and Data Science Group, led by Dr. Natalia Vilor-Tejedor, and will collaborate with researchers in epidemiology, neuroscience, data science, and
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PhD candidate in Equine Intestinal Microbiome and Resistome Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 40 Application deadline: 29
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PhD: The Urban-Ocean Nexus: Towards Developing Inclusive, Resilient Blue Economy Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36
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PhD Position: Quantifying Indoor and Occupational Microplastic Exposure Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40
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PhD Position in Explainable AI for High-Stake Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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candidate at the Behavioural Science Institute and lecturer in Communication Science Mustafa Akpinar is a PhD candidate at the Behavioural Science Institute and a lecturer in Communication Science. "While