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interests and expertise as well as data availability. This could include research focused within or across countries, as well as across different levels and dimensions of cooperation. We expect such
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information or questions about the position, please contact dr. Ivana Qianqi Lin via: [https://www.utwente.nl/en/tnw/hmoe ] Apply now Share this vacancy About the organisation The Faculty of Science
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visit the ESA website: https://www.esa.int Field(s) of activity/research for the traineeship As a Luxembourgish National Graduate Trainee, you will have the opportunity to: support the Spaceship and
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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 21 hours ago
would be interesting in working with. A list of all faculty members can be found at https://iop.uva.nl/people/permanent/staff.html A diversity statement (max 2 pages). You can for example write about how
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 2 months ago
high demand. You will be supervised by Dr Gabriele Liga ( https://www.tue.nl/en/research/researchers/gabriele-liga ) and Dr Yunus Can Gültekin at TU/e. You will carry out two research secondments: one
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longitudinal data on PhD recipients with complementary sources such as publication and patent data, and aims to enrich these with other sources on individual paths and preferences. The PhD candidate will
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under what conditions emotionally charged migration narratives are linked to political engagement? The project will combine multimodal social media analysis with survey experiments, and data-donation
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, coordinate data collection at Altrecht Center for Personality Disorders, and analyse longitudinal EMA data collected both during psychotherapy sessions and in daily life. You will collaborate with
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improve treatment outcomes for people with TB by combining clinical research, translational approaches, and secondary analyses of existing data. The candidate will have the opportunity to contribute to a
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction