Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
collaborate with other PhD students working on muscle technology, manipulation, control, and machine learning. The output of the PhD thesis will significantly contribute to the advancement of musculoskeletal
-
, and machine learning. We collaborate with several of them as well as institutions and companies in Switzerland and abroad. chevron_right Working, teaching and research at ETH Zurich We value diversity
-
sequences Have experience with computer simulations and programming Your workplace Your workplace We offer ETH offers an exciting opportunity to work at the forefront of scientific research. Collaborations
-
, numerical simulations and experimental implementation of pulse sequences Have experience with computer simulations and programming We offer ETH offers an exciting opportunity to work at the forefront
-
in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
-
tools and in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis
-
are lookingfor outstanding, highly motivated individuals interested in pursuing a PhD in the multidisciplinary and important research area of modelling and optimisation of magnetic components and electric machines
-
Raman spectroscopy and mass spectrometry-based proteomics, along with cutting-edge machine learning approaches, to enable timely identification of high risk for the chronic wound formation Coordinate
-
100%, Zurich, fixed-term The Optical Nanomaterial Laboratory in the Physics Department at ETH Zurich is looking for a PhD student in nonlinear optics for analog computing. Project background A
-
science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering