Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Umeå University
- Swedish University of Agricultural Sciences
- SciLifeLab
- KTH Royal Institute of Technology
- Linköping University
- Nature Careers
- Lunds universitet
- Karolinska Institutet (KI)
- Lulea University of Technology
- Linnaeus University
- Stockholms universitet
- Mälardalen University
- Örebro University
- Karlstad University
- Sveriges lantbruksuniversitet
- Uppsala universitet
- Blekinge Institute of Technology
- University of Gothenburg
- Jönköping University
- Umeå universitet
- University of Borås
- Umeå universitet stipendiemodul
- KTH
- Karlstads universitet
- Luleå University of Technology
- ;
- European Magnetism Association EMA
- Lund University
- Lund university
- Malmö universitet
- Mid Sweden University
- NORDITA-Nordic Institute for Theoretical Physics
- Stockholm University
- 25 more »
- « less
-
Field
-
for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
-
, contribute to a better world. We look forward to receiving your application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and
-
), signal processing, machine learning, computer vision, video processing After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information
-
Europe. Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
-
and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospect PhD student will join a research team in KTH led by Professor Aristides Gionis
-
novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
-
cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
-
of surface sites makes theoretical understanding difficult. This project will develop and benchmark machine learning models to predict local electronic density of states (DOS) at alloy catalytic sites
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our societies rely on computer systems and on software stacks. Unfortunately, software