Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Uppsala universitet
- Umeå University
- Linköpings universitet
- Umeå universitet
- Lunds universitet
- Mälardalen University
- Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Institutionen för biomedicinsk vetenskap
- KTH Royal Institute of Technology
- Linkopings universitet
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- Nature Careers
- School of Business, Society and Engineering
- Stockholms universitet
- University of Lund
- 9 more »
- « less
-
Field
-
approaches that combine artificial intelligence, machine learning, natural language processing, and social sciences. This collaborative and cross-sectoral approach aims to produce robust methods for evaluating
-
quantified, and machine learning will be used. Duties As a PhD student, you will work toward a doctoral degree as the final goal, according to the goals specified in the Higher Education Ordinance. In parallel
-
/thesis: Challenges and opportunities with remote sensing and machine learning in forestry Research subject : Soil science Description: WIFORCE Research School Do you want to contribute to the future
-
, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
-
if you have worked with prediction models, machine learning or AI models and are familiar with blood cells such as neutrophils, leukocytes and platelets. Work experience in the area is meritorious. If you
-
for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
-
humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in this context