88 building-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Umeå University
- SciLifeLab
- Lunds universitet
- Jönköping University
- Karlstad University
- Linköping University
- Karolinska Institutet (KI)
- Lulea University of Technology
- Luleå University of Technology
- Chalmers University of Technology
- KTH
- KTH Royal Institute of Technology
- Swedish University of Agricultural Sciences
- University of Borås
- Uppsala University
- 6 more »
- « less
-
Field
-
opportunities to make an impact. You will be employed as a Senior Associate Professor at the Department of Science and Technology (ITN), with your workplace located at the Center for Medical Image Science and
-
independent, has social competence and collaborative ability. It is expected that the candidate develop independence and build up network contacts during the education. Application The application should be
-
, particularly Python Computer vision, artificial intelligence, and machine learning Industrial cyber security Proficiency in Swedish, both spoken and written More about requirements and the recruitment process in
-
(DDLS) programme, and Swedish life science researchers in general. A key focus for the coming years is to build integrated services for multimodal data generated by SciLifeLab infrastructure platforms. As
-
work tasks We are seeking a motivated PhD student to join the Plant Cell Wall Dynamics Lab, led by Associate Professor Laura Bacete. The successful candidate will investigate how physical and chemical
-
suitability to perform one’s duties. Assessment criteria In the appointment process, special attention will be given to research skills. Teaching skills will also be considered. The assessment of research
-
University require the ability to collaborate and the general ability and suitability to perform one’s duties. Assessment criteria In the appointment process, special attention will be given to research and
-
distributions and describe these using mathematical functions that can be incorporated into ecosystem process models. To address these research questions, you will have the opportunity to combine field
-
educational backgrounds, including biostatistics, computational sciences, physics, bioinformatics, molecular biology, or related disciplines. We believe that varied perspectives, experiences, and competencies
-
, Computer Science, Data Science, Engineering, Physics, or equivalent Extensive (5+ years) experience of applying and/or developing advanced machine learning and AI methods in internationally competitive life science