197 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at ETH Zurich
Sort by
Refine Your Search
-
, students gain valuable hands-on experience and learn essential skills for their future. That’s why we’ve created an ecosystem where students - Bachelor’s, Master’s, and Doctoral - are encouraged to ideate
-
well as the accomplished research project BOTTOMS-UP. Depending on your skills and preferences, Artificial Intelligence (Machine Learning) can be used for predicting aspects of forest biodiversity based on existing as
-
the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides
-
for nowcasting, high-frequency indicators construction, machine learning, time-series econometrics and maintains the data and tools that feed the regular KOF macroeconomic forecasts. Curious? So are we. We look
-
transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
-
tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
-
, the Center fosters collaboration among academia, industry, and policy to create impactful solutions from local to global scales. It furthermore offers a range of educational activities and learning journeys
-
scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning applications, demonstrated through contributions to open source projects and production
-
, qualitative methods that combine situated ethnographic detail with deep knowledge of cultural and political contexts and histories, ideally in a cross-national comparative perspective. You can learn more about
-
in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Start date