193 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
is to place the UFTEs in the market as an advanced research tool. Job description Soldering electrical components and UFTEs to printed circuit boards 3D-printing, machining and electrochemical
-
COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
-
not only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a
-
forces and stress fields in such systems Develop and use machine-learning based models to correlate particle deformation and contact forces in 3D systems Profile Applicants for this PhD position
-
who share our guiding principles: Curiosity: You enjoy learning, exploring new ideas, and understanding problems deeply. Openness: You listen, collaborate, and are receptive to different perspectives
-
benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right Working, teaching and research at ETH
-
evaluate machine learning models, including unimodal, fusion, and attention-based transformer architectures, to assess the added value of cognitive data streams for clinical decision support Conduct
-
. The combination of biological and technological aspects is central in our group and in this project. A possible candidate should have strong disposition to learn and improve novel methods, should be very open to
-
candidate should have strong disposition to learn and improve novel methods, should be very open to different research disciplines and should be able to communicate across disciplines. Good communication (in
-
knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Laser Material Processing at inspire offers in collaboration with the Advanced Manufacturing