97 programming-languages-"the"-"CNRS"-"Embry-Riddle-Aeronautical-University"-"U" positions in Switzerland
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded
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courses, practical work, management). Contribute to the supervision of thesis and to MD, PhD and MD-PhD thesis committees / juries, as well as doctoral programs. Organize and participate in internal and
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partners. Furthermore, the development and implementation of study programs in the field of rehabilitation are among the core tasks, particularly focusing on integrative and cross-professional treatment
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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products is a strong plus. Excellent laboratory and organizational skills; ability to work independently and as part of a collaborative team. Good communication skills in English. In
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required. The candidate is expected to evince both scientific leadership and independence. English proficiency (spoken and written) is essential; facility with German is not required but is beneficial
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running community programs, this person will be actively making things happen on the ground. You’ll help shape the future of AI entrepreneurship by translating strategic ideas into operational reality. Job
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involved in evolution Main tasks: Research: develop an internationally recognized research program funded by external sources (70%) Teaching: supervise Master and PhD students and participate in teaching
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance