84 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Utrecht University
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genetics, epidemiology, molecular biology, data science, and environmental health. Your job At Utrecht University (Institute for Risk Assessment Sciences), we focus on understanding how environmental and
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and temporal monitoring data across Europe. You will help uncover how pollution reshapes life in our seas—from the biology of individual organisms to the health of entire populations, and ultimately
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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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infections, antimicrobial resistance, and the role of extracellular vesicles in infection in both humans and animals. More information about the research groups (Infection Biology, Immunology and Clinical
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, or similar) for data analysis and modeling; Theoretical background and genuine interest in porous media processes, such as fluid flow, reactive transport, soil-fluid interactions, or geomechanics; Excellent
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. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for everyone
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researcher, you will engage with students and staff to collect rich data, perform qualitative analyses, co-author open-access papers, and co-create a dilemma game – a reflective tool for teachers, support
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collaborative project environment. Must-have qualifications: a completed PhD in Media Studies, Communication and Information Studies, Education, Science and Technology Studies (STS), or a closely related field; a
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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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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