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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD applicants, it is not...
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD...
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We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
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campaigns (one to two weeks per year) Holder of a valid car driving license Our offer We offer a fully funded PhD student position (3 years, full time) at Empa, the Swiss research institute for materials
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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research work (master project or undergraduate project), pointing out the question of the project, the methods used, the obtained results, and your interpretation of the results them. Also, what you learned
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explaining urban change in Hong Kong and Taipei exclusively in terms of tiger economics or the developmentalist state, beyond techno-positivism and growth machine dogmas, ASPIRA recognizes defiance as the
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work permits. The final enrollment in the doctoral program is conditional to the choice of a thesis topic, a supervisor and a secure funding. Application requirements Before you begin, it is important to
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of multi-energy consumer flexibility to estimate its contribution on system sizing, demand reduction and security of supply. Challenges encompass - among others -, multi-energy system design and integration