Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Linköping University
- Lulea University of Technology
- Umeå University
- Jönköping University
- Blekinge Institute of Technology
- Linnaeus University
- Mälardalen University
- Nature Careers
- University of Lund
- 2 more »
- « less
-
Field
-
English. We seek candidates who are highly motivated to conduct rigorous research, interested in producing findings with practical relevance and aspiring to pursue an international academic career. It is
-
analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce ), was created. We conduct internationally recognized research and
-
Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
-
for an ambitious doctoral student who wants to conduct state-of-the-art research at the crossroads of brain inspired machine learning and next-generation hardware concepts. Candidates should have experience
-
courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
-
machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
-
robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific
-
simulations Experience of work in the maritime sector or marine management Swedish language skills (spoken and written) Your tasks As a PhD student, your responsibilities will include: Plan and conduct research
-
on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We
-
-scale GAC filter data to aid in system understanding, design, and optimisation. Main responsibilities Conduct research within the PhD project (>80%) Publish scientific articles and present your work