Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Karolinska Institutet, doctoral positions
- KTH Royal Institute of Technology
- Karlstads universitet
- KTH
- Karlstad University
- Nature Careers
- Chalmers University of Technology
- Jönköping University
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- University of Lund
- Örebro University
- Högskolan Väst
- Linnaeus University
- Linnéuniversitetet
- Lulea University of Technology
- 7 more »
- « less
-
Field
-
, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working
-
with experience in Artificial Intelligence, Machine Learning (ML), and Web Development to work on a project focusing on: Intelligent Scheduling of Atmosphere/Ionosphere Observations and Experiments You
-
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
-
myocardial infarction or stroke. To better understand the development and progression of vascular disease, over the past decades we have, together with the Vascular Surgery Clinic, Karolinska Hospital
-
analysis objective. Develop and provide operational support for scientific software and services within the MAX IV edge-cloud environment, with a focus on web-based data analysis tools, particularly within
-
Web stack (Javascript/Typescript) Experience developing ML models In addition, the following education, experience and expertise will strengthen an application: Published scientific publications in
-
sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the
-
and visualization prototypes (e.g., interactive front-end development, web environments, data processing, or scientific computing); Experience or strong interest in artificial intelligence and machine
-
Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
-
conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103