Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results at consortium meetings
-
active sites), in vitro and in vivo enzyme screenings, electrochemistry, and machine learning-assisted directed evolution. As part of this project, you will collaborate closely with PhD students and
-
are actively committed to a sustainable and climate-neutral university. You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ
-
main areas of research are machine learning, distributed systems, and the theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural
-
and adventure, and short commutes via train/plain/automobile to anywhere in Europe. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich
-
knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Simulation and Metrology at inspire offers in collaboration with ETH Zurich the following position
-
publications. Desired: Experience in nanopore and/or other single-molecule experiments and their interpretation Coding skills for advanced data analysis, machine learning, kinetic modeling, etc. Nanofabrication
-
-molecule techniques. Coding skills for data analysis, pattern recognition, machine learning, kinetic modeling, etc. Advanced optics, biochemical wetlab, and/or bioengineering experience. Required: MSc degree
-
members of the Computational Mechanics Group and develop it further from both the theoretical and the computational point of view. Job description You will have the unique opportunity to learn, develop and
-
experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal