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of quantum computers, and resource theory for quantum computation. They will carry theoretical studies using both analytical and numerical tools, in these subject areas. They will also interact with
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). Qualifications The candidate must have a PhD in mathematics. In addition, knowledge of classical L2-methods in complex analysis and pluripotential theory is required. Familiarity with multivariable residue theory
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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spaces of AI models will be analyzed in their facts using quantitative methods from data science and AI, results of which then be investigated using qualitative methods and theory of critical studies
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disciplines Excellent written and spoken English Experience with optimal control theory and methods Contract terms The position is regarded as a full-time employment with a competitive monthly salary and full
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laboratory work and data analysis? Then this position may be right for you. While the focus will be on your research and personal development as a researcher, the position also provides opportunities
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, entrepreneurial success, and sustainable growth. Project overview The position is not tied to any specific project or theme. Instead, we are offering a strong and ambitious candidate great flexibility in shaping
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of adsorption and biodegradation, little is currently known about their interaction. This project aims to fill that knowledge gap by: Operating laboratory-scale GAC filters Sampling from full-scale filters
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Are you passionate about using data and AI to improve human health? Join us in tackling one of the biggest global health challenges of our time – antibiotic resistance. We are offering a three-year
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Exciting Opportunity in Sustainable Energy Research: Join Us in Advancing Hydrogen Storage Technology! Hydrogen is a critical energy carrier for future sustainable systems. One issue using hydrogen