31 computer-science-programming-languages-"St"-"St" PhD scholarships at Utrecht University
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PhD position in Human-Centered AI for Accessibility Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 28
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people across disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and
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supporting the clinical programme in all activities related to the in vitro production and preservation of equine embryos (ovum pick-up, oocyte maturation, intracytoplasmic sperm injection, IVF, embryo culture
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organisations. The extensive educational programme is based on academic research conducted within the faculty of Law, Economics and Governance. Students are trained to be highly qualified, internationally
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and AMOC changes at decadal to millennial timescales. This project may include participation in seagoing expeditions. This project is part of the 10-year EMBRACER research programme funded by the Dutch
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at Utrecht University. Your qualities You are a motivated team player, have experience in modelling using programming language(s), and have completed your MSc degree in Earth Sciences, Environmental Science
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personal development, you will follow courses and assist in teaching Earth Sciences at Bachelor's and Master's level. Together, these activities amount to twenty percent of the contracted time. Your
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your motivation letter. This project is part of the 10-year EMBRACER research programme funded by the Dutch Research Council (NWO). At EMBRACER, we work at the very frontiers of knowledge on climate
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you received during your master program, via the ‘apply now’ button. Please note that international candidates that need a visa/work permit for the Netherlands require at least four months processing
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problem from various angles and disciplines basic knowledge of (geophysical) fluid dynamics; good writing and communication skills (English); experience with climate modelling or complexity science