Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- University of Lund
- Chalmers University of Technology
- Lunds universitet
- Chalmers tekniska högskola
- Nature Careers
- Umeå University
- SciLifeLab
- Umeå universitet
- Umeå universitet stipendiemodul
- Karolinska Institutet
- Linköping University
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Uppsala universitet
- chalmers tekniska högskola
- 11 more »
- « less
-
Field
-
(through the international master’s programme Mobility Engineering, Marine Technology track) and also contributes to seafarer training. About the research project The postdoctoral research will focus
-
Mobility Engineering, Marine Technology track) and also contributes to seafarer training. About the research project The postdoctoral research will focus on developing a digital twin ship simulation model
-
, computer science or similar. A successful candidate should have deep and broad knowledge and experience in machine learning and related areas with a proven academic track record. Publications in leading AI/ML
-
. Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants. Proven track record of publication will be preferable. Applicants will
-
agent behavior Strong collaborative skills and a track record of publications Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior
-
/containerization platforms (e.g., Kubernetes, OpenStack) Ability and motivation to carry out high-quality research and development Strong track record of publications in leading Q1 journals and top-tier
-
of appointment/assignment relevant to the field. Eligible doctoral degrees include Biochemistry, Cellular or Molecular Biology, Biotechnology, or related disciplines. Required Qualifications: A strong track record
-
track record of publication will be preferable. Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to
-
, chemical) engineering, bioelectronics, plant biology or equivalent. We are looking for a candidate who is / has: Academically Strong: Holds a relevant doctoral degree with a solid track record. Technical