Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- University of Lund
- Chalmers tekniska högskola
- Linköping University
- Lunds universitet
- Nature Careers
- Karolinska Institutet (KI)
- Luleå University of Technology
- SciLifeLab
- Chalmers Tekniska Högskola
- Högskolan Väst
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå University
- 5 more »
- « less
-
Field
-
environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based traversability-aware path planning and safe trajectory generation - Resilient mission design for
-
requirement must be met no later than the time the employment decision is made. The research profile, as documented by previous publications, including PhD thesis, is aligned with the job description. Ability
-
international partners, enabling fast learning and idea exchange with medical doctors. [F1]https://www.kth.se/profile/seraina What we offer A position at a leading technical university that generates knowledge
-
degree. This eligibility requirement must be met no later than the time the employment decision is made. PhD in Railway Engineering, Civil Engineering, Geotechnical Engineering, or a closely related field
-
research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
-
the time you start (you can apply before they are met e.g. during your PhD). A doctoral degree (PhD or equivalent) in an area relevant to the announcement. Everyone is welcome to apply but due to regulations
-
physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
-
. This eligibility requirement must be met no later than the time the employment decision is made. PhD in Nuclear Engineering, Nuclear Power Safety, Engineering Mechanics or similar, with extensive experience from
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. The candidate should hold a PhD in experimental physics or similar degree and have