Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- SciLifeLab
- Lunds universitet
- Chalmers University of Technology
- University of Lund
- Blekinge Institute of Technology
- Mälardalen University
- Chalmers tekniska högskola
- Umeå University
- KTH
- Linköping University
- Nature Careers
- Stockholms universitet
- Karolinska Institutet (KI)
- Linneuniversitetet
- Sahlgrenska Academy, University of Gothenburg
- The University of Gothenburg
- University of Gothenburg
- Örebro University
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Department of Political Science, University of Gothenburg
- Göteborgs Universitet/ Institutionen för språk och litteraturer
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Lulea University of Technology
- Sveriges lantbruksuniversitet
- Södertörn University
- The Department of Marine Sciences
- The Institute of Clinical Sciences
- The Institute of Neuroscience and Physiology
- University of Borås
- Uppsala universitet
- chalmers tekniska högskola
- 25 more »
- « less
-
Field
-
-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as
-
maintenance of gas distribution, gas detection and vacuum systems. Troubleshooting Skills: Proven ability to diagnose and repair gas distribution and cooling systems down to the component level. Vacuum
-
reasons to the contrary (minimum 50 %). As part of your employment as a doctoral student, you may have departmental duties corresponding to up to 20 % of full-time employment, distributed throughout your
-
of the subject area Epidemiology is the study of the distribution and determinants of health-related states or events (including disease) in human populations. We apply this definition broadly and do not limit
-
develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and
-
problems and generative models. This PhD project investigates how generative AI models, particularly diffusion models, can be used as prior distributions in Bayesian inverse problems. The aim is to develop
-
are distributed by a service provider (e.g., WhatsApp), all users will consistently get the same public key for any given user. The PhD student will focus on protocol design, security proofs, and integration
-
welcomes applicants with varying backgrounds and experiences. We work actively to take advantage of the qualities that diversity and an even gender distribution contribute to our operations. We have chosen
-
joint processing of data from distributed nodes with local angular and delay information in a multi-static transceiver setup. We will also work with advanced short range radio technologies, specifically
-
involved in third-cycle education and contribute to the supervision of doctoral students and postdocs. The successful candidate is expected to conduct research of a high scientific standard in the relevant