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Field
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advance humanity To answer big, important questions with next-gen intelligence and bold innovations CAREER OPPORTUNITIES The Xuemin Investigator Program invites applications for the Tenure-Track Assistant
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range of disciplines including mathematics, the sciences (physics, chemistry, biology, material science, engineering), and computer science, with an emphasis on the theoretical foundation of machine
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, Computer Science and Engineering, Environmental Science and Engineering, Integrated Circuit Science and Engineering, Information and Communication Engineering. Arts and Humanities: Sociology, Fine Arts
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, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: tbd This contract has recieed funding from the European Union's Horizon Europe research and innovaation
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to industry. I. Research Fields We welcome applications in (but not limited to) the following areas: Materials Science, Chemistry, Artificial Intelligence, Computational Chemistry Nanomedicine, Nanotoxicology
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integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions
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the development and assessment of neurotechnology aimed for invasive brain-computer interfaces. In particular, the work will include in vitro assessment of the performance of electrophysiology neural
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Regulation (HLVO) requires a specific functional interest. You will be appointed as a professor (m/f/d) at JLU and granted leave from this position in order to lead the working group “sustainability assessment
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. Engaging in regular group meetings, training activities, and interdisciplinary seminars at ICN2 as part of the PhD training programme. Requirements: Education: Master's degree in Materials Science, Chemistry
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these questions, we develop mathematical and computational approaches to estimate mutation probabilities and selection. Tumor mutations are caused by diverse mutational processes, which can be identified through