Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
-
level of scientific independence and will gain relevant experience to apply for independent group leader positions. In particular, you can co-supervise Master or PhD students and participate in teaching
-
with a high level of scientific independence and will gain relevant experience to apply for independent group leader positions. In particular, you can co-supervise Master or PhD students and participate
-
. Conduct statistical analyses of the acquired datasets. Contribute to the publication and presentation of research findings. Assist in the supervision of Ph.D. students. Profile Prerequisites: PhD. degree in
-
PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
-
or similar tools) Initial experience with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds
-
velocity changes at selected locations with the introduction of unsupervised machine learning and study the interaction of mass balance changes (crustal stress changes) and geohazards such as rain-induced
-
image processing techniques and modern machine learning approaches to extract meaningful quantitative information from complex biological images. The successful candidate will contribute to projects
-
100%, Zurich, fixed-term Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in the Laboratory
-
. The position is funded for up to two years. Salary and social benefits are provided according to ETH Zurich rules. Profile Applicants must hold a PhD or doctoral degree with a strong proven research background