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a Power-to-X technology make plasma processing a promising method to decarbonize energy-intensive industrial processes while creating sustainable products from greenhouse gases. The postdoc work will
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The Cardiopulmonary Physiology And Mechanical Support (CPAMS) Research Group offers this position at the Department of Biomedical Engineering (DBE) at the University of Basel. The DBE is jointly run by the University of Basel and the University and University Children's Hospitals Basel and...
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Applicants should have recently earned a PhD in Economics and should show interest in the topics of the group. The preferred candidate has demonstrated her or his potential to conduct high-quality research
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Qualifications PhD in Computer Science, Software Engineering, FinTech Strong programming skills in Solidity and other smart contract languages Experience with blockchain platforms and development tools Proven
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. Requirements A PhD in Middle English literature or Chaucer reception studies, defended after 31 December 2023 (i.e. no more than two years before the starting date); A thorough knowledge of Chaucer’s works; The
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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with exam grading. - The anticipated start date is 1 September 2025 (earlier start dates can be considered). - A PhD in Mathematics (completed by the start date) is required. Please submit your
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Global) as one of the programmes. It is home to a community of over 100 PhD, Postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure
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are required to have: A completed PhD degree. Experience in machine-learning methods. Some skill in at least one of these topics: Large data sets analysis Statistics and uncertainty analysis (probabilistic