Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Umeå University
- Chalmers University of Technology
- Uppsala universitet
- Lunds universitet
- University of Lund
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- Linköping University
- Luleå University of Technology
- Jönköping University
- Linköpings universitet
- Stockholms universitet
- Umeå universitet
- Chalmers Tekniska Högskola AB
- Karlstad University
- Karolinska Institutet (KI)
- Malmö universitet
- Stockholm University
- chalmers tekniska högskola
- Örebro University
- 11 more »
- « less
-
Field
-
Lecturer. Background Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
-
. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
-
) operations and, even more interestingly, for emerging analog computing applicable to neuromorphic artificial intelligence and in-memory computing techniques. Doctoral studies include both the manufacturing
-
methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with Artificial Intelligence (AI
-
artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National
-
application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
-
application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
-
. The position is linked to a research project (through WISE and WASP ) in collaboration with experts in both machine learning and artificial intelligence (Pawel Herman at KTH’s Department of Computer Science and
-
with a background in artificial intelligence and data analysis, with experience in software development and software testing. Rules and benefits for Ph.D. students in Sweden apply to this position