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. The project is embedded in the broader EMBRACER programme, which aims to advance our understanding of climate feedbacks. You will therefore collaborate with colleagues in climate science, systems modelling, and
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of sediments, carbon, pollutants, nutrients, oxygen, and heat from the continental shelves to the deep ocean. Training A personalised training programme will be set up reflecting your training needs and career
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) Country Netherlands Application Deadline 15 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Extracellular vesicles (EVs) are natural, biocompatible carriers with innate
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high-performance computing facilities. We are a lively department that hosts an active early career community (PhD-students, researchers and lecturers). We organize a warm welcome for every new member
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approval by the Board for Conferral of Doctoral Degrees, before the candidate can be accepted to the PhD programme. The project will require: Experience or strong interest in paleoclimate/paleoceanography
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on preliminary results and research interests of the candidate. Training A personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be
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Netherlands Application Deadline 1 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Immunology programme and will be working in a supporting team environment were there is room for you personal development. PhD position 1 So far, the development of novel immunotherapies, such as vaccines and
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choice models, integrating data from sources such as sensors, surveys, Google Street View imagery, and microdata (e.g. CBS Lifestyle Monitor, ODIN); use computational and AI-based modelling approaches