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accelerometers to measure the non-gravitational accelerations acting on each satellite, which, in the data processing, will be separated from those caused by the gravity signal. NGGM will make it possible
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), and physiological parameters in the study of animal behaviour; a strong background in data analysis using R, preferably experience with Bayesian statistics and social network analysis; lab experience
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simulating experimental and field data in collaboration with the PHOSFLUX PhD candidate. Your qualities We are looking for a highly motivated postdoctoral candidate with a background in biogeochemical
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of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
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the PI and the technical/data engineer to manage data workflows, ensure FAIR data practices, and translate raw measurements into robust scientific products that feed directly into QUASI’s data analysis and
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. You will be responsible for designing and implementing reproducible analysis workflows, contributing to hypothesis development, supervising junior team members (PhD candidates and research assistants
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goals; participated in fieldwork to deploy and recover the floating trackers; further advanced your skills in numerical modelling and data analysis in python; enhanced your skills to communicate your
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topic fitting ‘Youth in Changing Cultural Contexts’, within the scope of the programme you are applying for; You have expertise in qualitative and advanced quantitative research and data analysis methods
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Employment 0.8 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Philosophy, Theology and Religious Studies Application deadline 08 March 2026 Apply
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topic fitting ‘Youth in Changing Cultural Contexts’, within the scope of the programme you are applying for; You have expertise in qualitative and advanced quantitative research and data analysis methods