Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
-
at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for PhD and postdoctoral positions in pioneering projects developing synthetic
-
the opportunity to collaborate with other PhD candidates. Profile The candidate must have a diploma/M.Sc. degree in electrical engineering with excellent grades, fundamental knowledge of power electronic converter
-
. The research will contribute to the area of neural input systems and will be related to brain-computer interaction. Candidates ideally have a background in Computer Science, Electrical Engineering, or Robotics
-
intelligence and statistical modeling, we aim to generate profound insights. Unlike a traditional PhD in Computer Science or Mathematics, our research is highly applied, focusing on tailoring mobile technology
-
knowledge and technology from research to Swiss machine, electrical and metal industries. The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical Engineering of ETH
-
of CRC, identifying novel prognostic biomarkers, and translating these findings into robust, interpretable models for risk stratification of CRC. Profile PhD in a relevant field such as Computational
-
-ceramic composites in close collaboration with a PhD student at the Biomaterials Engineering Group at ETHZ and the identification of process-structure-property relationships enabling the efficient design
-
tools and insights for the optimal design of policies that affect electric vehicle (EV) charging and the electricity system. The PhD student will contribute to the development of exciting new methods
-
to connect empirical findings with current governance challenges. PhD Position 2 will focus on strategic spatial planning for biodiversity under biophysical and sociopolitical uncertainty, with particular