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University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -POSTDOC [#21540] Position Title: Position Type
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
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also a central institution in Switzerland for the theory and practice of digital humanities and offers a master's degree and a doctorate in digital humanities. It has collaborative ties with several
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, have a proactive mindset and a getting-things-done attitude. We are looking for a highly flexible (prepared to work periodically abroad), well organized, detail-oriented and collaborative person with
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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
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-income countries. Associated with the University of Basel, Swiss TPH combines research, education and services at local, national and international levels. 950 people from 95 nations work at Swiss TPH
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these are popular texts that deal with urgent questions of American and European societies in the 21st century, the genuinely literary question of the social function of contemporary literature arises. Three
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related disciplinary configurations in the qualitative humanities. We are open in terms of your research focus but it must include historically situated and technically rigorous theoretical work as its
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Staphylococcus aureus and mycobacteria manipulate infected host cells and tissue microenvironments in patient biopsies. The projects will employ established work-flows for multiplex immunohistochemistry, advanced
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predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover