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’ sending and receiving regions. It uses big data and agent-based modelling to analyse the impact of those changing patterns of spatial mobility on EU regions and envisage policies to counterbalance
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, ambitious, creative, enthusiastic about RNA and interested in conducting both wet-lab and in silico work. You must Hold a PhD in molecular biology, biochemistry, or related disciplines. Have experience with
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well as limited ad-hoc student supervision. Finally, we will explore the possibility to involve the postdoctoral researcher in the supervision of PhD candidates and we encourage pursuing publishing and attracting
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‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems
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of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in computer science, AI, mathematics, or a related discipline, with a research track record in computational
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Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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researchers based in Leiden and Amsterdam, applicants will be involved in the collection of longitudinal network, survey and neuroimaging data in emerging adulthood. The GUTS Social Networks work package
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8 Mar 2025 Job Information Organisation/Company University of Groningen Research Field Economics Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 27 Mar 2025
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include the collection of quantitative and qualitative data on the performance of both health systems, focusing on governance, resource generation, financing and service delivery. Moreover, quantitative and