Sort by
Refine Your Search
-
outstanding working conditions. As part of an interdisciplinary team at the intersection of applied machine learning, behavioral science, forensic toxicology, and automotive safety, you will contribute
-
, human physicians, veterinarians, or pharmacists with a doctorate (PhD, MD-PhD) and at least 2 years of postdoctoral experience or a comparable qualification may meet the requirements. Excellent scientific
-
100%, Zurich, fixed-term The Chair of Space Geodesy invites applications for an exciting PhD opportunity focused on advancing research in satellite gravimetry for hydrology using machine learning
-
100%, Zurich, fixed-term The Chair in Nonlinear Dynamics at ETH Zürich is seeking a highly motivated PhD student in the area of data-driven model-reduction for high-dimensional nonlinear physical
-
efficiency, particularly with respect to latency. Project background The successful candidate will join the BMIC team at ETH Zurich and also be a part of the Computer Vision Lab (CVL). The project is conducted
-
for an exceptional and highly motivated PhD candidate for a joint project. We are recruiting a full-time (100%) PhD Student with a strong interest in peptide chemistry, mass spectrometry, and modern drug discovery
-
the selection of further reactions to run, and their application to targets of medicinal interest. Job description As a PhD student in our growing team, you will develop machine learning methods to predict
-
and presentations; and providing technical support and troubleshooting in T cell culture, molecular cloning, and viral production workflows. Profile PhD in bioengineering or related area. Strong
-
of traffic management and control strategies in urban and freeway environments. At the same time, data-driven methodologies and machine learning offer new opportunities for optimal traffic management
-
field A strong background and keen interest in uncertainty quantification, structural reliability, optimization, Bayesian inference, surrogate modeling/emulation, and/or machine learning Excellent