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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
building in the Netherlands. The Ideal Candidate We are genuinely open and curious to learn how applicants see themselves contributing to this project. We invite you to make a case for how your background
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observations. Your major challenge is in model development, and there is room for you to develop machine learning applications in the field of firn modelling. If successful, your work will lay the foundation
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adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases and in particular the complications encountered in photometric
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one of the biggest International Relations Department all over Europe and to acquire valuable research and teaching experience. The two main supervisors of the PhD project are Matteo CM Casiraghi and
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to discuss findings in a peer-learning infrastructure The project is embedded in the Team Policy, Politics and Society of the Department of Public Administration and Sociology at the Erasmus School of Social
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on the situational assessment of street-level workers by vignette studies 4) SP4 includes Local and Transnational Labs in which participants will be brought together to discuss findings in a peer-learning
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Mycobacteria). PhD students in the Weingarth group external link usually a learn a combination of biochemistry, analytical chemistry, and structural biology skills. The Utrecht NMR Group hosts world-class
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for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with
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geopolitics, transnational territorial imaginations and post-imperial worldmaking, c. 1908-1977”. This PhD project offers a unique opportunity to work in an international, diverse environment and to acquire
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regular meetings with supervisors to discuss the PhD project development. Write three publishable articles/chapters, with supervisory guidance. Complete the PhD in the specified timeframe (4 years). Teach