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ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an University Assistant
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming
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. The project has been ongoing since 2010 and has served over 10,000 couples. The Fellow will fill two primary responsibilities: 1) Research publication and grant writing as well as 2) Project management. Data
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study (CBCS), a large, diverse population
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Interaction with a design and data-oriented perspective. Experience in research in the domain of affective interaction design Background in large-scale data engineering Personal or professional experience
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14 Apr 2026 Job Information Organisation/Company Université côte d'azur Department DRH Research Field Computer science » Digital systems Researcher Profile Recognised Researcher (R2) Established
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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with