Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Umeå University
- Karolinska Institutet (KI)
- Nature Careers
- Uppsala universitet
- KTH Royal Institute of Technology
- Umeå universitet stipendiemodul
- Linköping University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Luleå University of Technology
- Umeå universitet
- Sveriges Lantbruksuniversitet
- Jönköping University
- KTH
- Luleå tekniska universitet
- SLU
- University of Borås
- Blekinge Institute of Technology
- European Magnetism Association EMA
- Göteborg Universitet
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för växtskyddsbiologi
- Luleå tekniska universitet/Luleå University of Technology
- Luleå university of technology
- Mälardalen University
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Örebro University
- 26 more »
- « less
-
Field
-
disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify
-
Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
-
of working with motion capture, eye tracking, machine learning, or other advanced behavioral analyses or related research experiences. A consistently excellent academic track record is required, including
-
Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
-
Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
-
The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
-
testing and collaboration with infrastructure owners or managers - Experience in supervision - Knowledge of data-driven methods, signal processing, or machine learning - Familiarity with sustainable
-
. The position bridges machine learning and molecular science, with opportunities for collaboration, mentorship, and impactful research. About us The Department of Computer Science and Engineering (CSE