12 neuroimaging-machine-learning-engineer PhD positions at University of Basel in Switzerland
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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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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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. And it continues to do so. Realizing these potential benefits through research and development is one of the most important challenges in state-of-the-art biomedical engineering. Our research is focused
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. The project is funded by Innosuisse and is planned to be spun off from the University of Basel within 18 months, providing a unique opportunity to be involved in translational research and technology
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assistants Document and present research findings in English Teaching Design plan, and teach courses (lectures, seminars, tutorials, practical courses) and design, perform, and evaluate course-related
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well as retreats and study days provide numerous opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career
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the historiography of modern commodities, consumption, gender, marketing and cultural history. She/he should be keen to learn new skills, be open to collaborative work, and be eager to actively participate in the team