Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Chalmers tekniska högskola
- Lunds universitet
- SciLifeLab
- Umeå University
- Umeå universitet stipendiemodul
- Uppsala universitet
- Karolinska Institutet (KI)
- Umeå universitet
- Örebro University
- KTH
- Linköping University
- Linköpings universitet
- Nature Careers
- Stockholms universitet
- University of Borås
- University of Lund
- chalmers tekniska högskola
- Chalmers Tekniska Högskola
- Institutionen för akvatiska resurser
- Karolinska Institutet
- Linköping university
- Linköpings University
- Linneuniversitetet
- Malmö universitet
- NORDITA-Nordic Institute for Theoretical Physics
- Sveriges Lantrbruksuniversitet
- Swedish University of Agricultural Sciences
- 19 more »
- « less
-
Field
-
HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
-
Railway Engineering is seeking a motivated and collaborative postdoctoral researcher for a project on developing machine learning tools for pavement management. The project is conducted in collaboration
-
integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and present research results from the project on conferences. Collaboration with
-
postdoctoral researcher with a focus on AI trustworthiness modeling on multimodal data and machine learning models. The Department of Computing Science has been growing rapidly in recent years, with a focus on
-
groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in
-
, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment / assignment relevant
-
. The following education, experience and expertise are required: solid knowledge in machine learning, optimization, or algorithm development programming experience, preferably in Python In addition, the following
-
statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description A central challenge in machine learning is ensuring
-
methods to rigorously assess the safety and effectiveness of medications in real-world patient populations. Defining individualized treatment strategies: Leveraging traditional and causal machine learning