155 computer-science-programming-languages-"the"-"U"-"UCL"-"O.P"-"U.S" positions at ETH Zurich
Sort by
Refine Your Search
-
Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
-
Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
-
applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
-
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
-
, or materials science. Background in solid-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Additional assets
-
, and/or agency, and/or comparable experience in space-related industry Management experience in a complex and larger project or program, e.g. as PI/Co-PI, project manager Significant personal experience
-
As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural language
-
is essential. Good knowledge of German is beneficial. Workplace Workplace We offer ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
-
Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
-
range of disciplinary backgrounds, including but not limited to environmental policy, political science, science and technology studies, public policy, data science, computer science, and international