132 programming-language-"St"-"Washington-University-in-St"-"St" positions at ETH Zurich
Sort by
Refine Your Search
-
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
-
language models, can be leveraged to learn from system developers’ documentation, then assist the system developers and finally propose modifications to the system developers. This will support digital
-
biotechnology, biochemistry, microbiology or a related field. Candidates should be fluent in English, enthusiastic for experimental work - a flair for computational work and chemistry will be considered an asset
-
to power outstanding events and digital outreach. Requirements A university degree, ideally with exposure to AI topics or international affairs Professional fluency in English; German is an asset Strong
-
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
-
project teams and meet with everyone at eye level. The individuals we work with are from a diverse range of backgrounds and study disciplines, which is why we communicate in English. As the projects we
-
written English skills are required. For this job, fluency in the German language is an advantage due to potential collaboration with Swiss manufacturers, but not a strict selection criterion. The working
-
main areas of research are machine learning, distributed systems, and the theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural language
-
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
-
: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance