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development, and ultimately regeneration. The key focus includes cardiac and renal tissue engineering. You will adapt techniques established in the lab, and develop new approaches, as well as new methods
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methods research, the project aims to expand our understanding of the influence of biopsychosocial factors during hormonal transitions, both in the general population and in individuals with variations in
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are familiar with you as a student and can provide references. The estimated starting date of the position is 1st October 2026. The application deadline is 24 April 2026. Apply now
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training programmes on interdisciplinary and transdisciplinary research methods, citizen engagement, and ethical AI. In this project, you will: Review existing Explainable and Transparent AI frameworks and
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quantitative methods – You’re comfortable with data analysis and statistical techniques. We encourage you to outline in your application letter in what way you have demonstrated the required skills. What we
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, hydrological modelling, AI-based methods; Experience with programming languages (e.g. Python); Motivation to cooperate in a diverse and multidisciplinary research team; Strong social and communication skills
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, or science or technology studies is a strong plus Experiences with qualitative research approaches, this can include interviews or participant observation Experience with participatory research methods
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or chromatography methods; ability to work independently as well as in a multidisciplinary team; good communication skills in English (written and spoken), Dutch is an advantage. Additional Information Benefits A
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(algorithms), and statistics. During this project, you will develop new methods to construct phylogenetic networks and generalize mathematical frameworks of phylogenetic network classes to tackle related
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-delft-electrical-engineering-mathematics-and-computer-science_erc-ercsynergygrant-grant-activity-7392154613900013570-z60p/ TU Delft (Delft University of Technology) Delft University of Technology is built