Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ETH Zurich
- Empa
- University of Basel
- ETH Zürich
- Agroscope
- University of Zurich Blockchain Center
- ;
- ; Ecole polytechnique federale de Lausanne - EPFL
- EPFL FSB
- European Magnetism Association EMA
- INSAIT - The Institute for Computer Science
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Zurich
- 3 more »
- « less
-
Field
-
of knowledge between the fields of computer vision and forestry. Job description The successful candidate will develop a comprehensive modeling approach to quantify tree species health and forecast tree species
-
12 Feb 2025 Job Information Organisation/Company ETH Zürich Research Field Engineering » Electrical engineering Engineering » Materials engineering Physics » Other Researcher Profile Recognised
-
26 Feb 2025 Job Information Organisation/Company ETH Zürich Research Field Economics » Management studies Economics » Other Engineering » Industrial engineering Engineering » Mechanical engineering
-
100%, Zurich, fixed-term The Chair of Strategic Management and Innovation at ETH Zurich's Department of Management, Technology, and Economics, under the leadership of Prof. Dr. Georg von Krogh
-
dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within and between-host level (1 ,2
-
largest research centre for the natural and engineering sciences in Switzerland. The current research focus is the investigation of novel magnetic systems at the mesoscopic scale making use of the clean
-
on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
-
by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting-edge research, Empa's
-
the field of Computer Science or similar Solid background in the foundations of reinforcement learning Proven research experience with first-authored publications at peer-reviewed conferences (ICML
-
. Profile PhD degree in Mechanical Engineering, Electrical Engineering, Materials Science or related field from a top-notch university Productive candidates with outstanding publication records in stretchable