Sort by
Refine Your Search
-
the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
-
the Master of Science in Robotics, Systems and Control) Research focus Our group seeks to build and strengthen a medical and surgical robotics research activity at ETH Zurich in close collaboration with local
-
Profile Enrolled in a master’s program at a Swiss university / ETH with a strong focus on data science or statistical methods (data science, computer science, economics, social sciences, etc.) Excellent
-
100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
-
engineering. Workplace Workplace We offer A dynamic and stimulating work environment with cutting-edge laboratory and computational infrastructure - both at ETH Zurich as a whole and within the GEG Group in
-
to scientific exchange and team development Profile Master’s degree or equivalent in Data Science, Computer Science, Biomedical Engineering, Neuroscience, or a related field Solid experience in Python and/or R
-
As a Lab Automation Engineer at SwissCAT+ East, you will be responsible for the maintenance, troubleshooting, programming, and continuous development of a diverse portfolio of automated and high-throughput laboratory systems. The infrastructure includes state-of-the-art robotic platforms for...
-
The Institute of Molecular Systems Biology at ETH Zurich is inviting applications for a Full Stack Web Developer for Life Science Research in the laboratory of Prof. Pedro Beltrao . The Beltrao
-
. You have a solid background in computer science, mathematics, or statistics and a strong interest in empirical analysis and interpretation. Areas of specialization can be, for instance, network analysis
-
for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology