Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- University of Lund
- Lunds universitet
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå University
- Karolinska Institutet (KI)
- Lulea University of Technology
- Blekinge Institute of Technology
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Linköping University
- Linköping University (LiU)
- Luleå University of Technology
- Luleå tekniska universitet
- The Swedish University of Agricultural Sciences
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Borås
- University of Skövde
- Uppsala University
- Uppsala universitet
- universitypositions
- 13 more »
- « less
-
Field
-
, teaching, communication, as well as leadership, project, and people management. The successful applicant will also have opportunities to co-supervise MSc and/or PhD students. Training will be tailored
-
spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
-
the division of Engineering Logistics, Department of Industrial and Mechanical Sciences. We have approximately 15 employees. Here we teach and conduct research in the field of logistics and supply chain
-
, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
-
. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
-
understanding: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions
-
: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
-
directions within DRIVE PR collaboration with PhD students, senior researchers and solution providers participation in national and international networks opportunities to contribute to education, learning
-
of Industrial and Mechanical Sciences. We have approximately 15 employees. Here we teach and conduct research in the field of logistics and supply chain management. Our research addresses various aspects
-
within several ongoing projects. The division consists of researchers with broad and complementary expertise, including professors, researchers, postdoctoral fellows, PhD students and technical staff