Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-position-in-computational
-
Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
! More Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads/doctoral-candidate-in-computer-vision-and-ma… Requirements Research
-
, presentations and scientific publications Your profile You have a PhD degree (or equivalent) in Acoustics or Electrical/Mechanical Engineering or Computer Science. Experience with scientific computing in Matlab
-
to test its application in real-world environments. To support this project, we are looking for a motivated Full-Stack Engineer to join our team in building and maintaining modern web applications and cloud
-
computer science with focus on networking and distributed systems and special emphasis on data centers and cloud computing. Within these areas, topics of interest include protocol design, performance analysis
-
(tenure track) in computer science with focus on networking and distributed systems and special emphasis on data centers and cloud computing. Within these areas, topics of interest include protocol design
-
tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-positions-in-computational… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research
-
management policies to achieve energy neutrality and autonomous operation in long-term deployments. Edge–cloud integration and field deployment. Deploy and validate sensor networks on representative assets
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Doctoral Program in Literary Studies of the University
-
interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and