226 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
-
of emerging technologies balanced against their dark sides. Our research at the intersection of data, behavioural, and computer science draws on data from real-world and experimental settings The Centre for AI
-
100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
-
100%, Zurich, fixed-term ETH Zurich’s Energy and Technology Policy Group (EPG) is looking for a doctoral student working on the role of knowledge and innovation for economic resilience in
-
acceleration Scientific computing and data libraries A keen interest in scientific computing, atmospheric sciences, or advanced instrumentation is highly advantageous Ability to work both independently and
-
We are seeking a dedicated and detail-oriented student assistant to join our university research group. This position involves collecting and analyzing data on retail companies in North America
-
scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
-
, with deep experience in appearance reconstruction and material modeling. Required Qualifications MSc in Computer Science or related field Strong background in computer vision and/or computer graphics
-
evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
-
Engineering, Ecology, Ecohydraulics or a related discipline. Demonstrated experience in planning and conducting fieldwork in freshwater ecosystems. Strong skills in data management, visualisation and