Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Lunds universitet
- Sveriges Lantbruksuniversitet
- University of Lund
- Karolinska Institutet, doctoral positions
- Nature Careers
- Linköpings universitet
- Chalmers University of Technology
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- Mälardalen University
- SciLifeLab
- Chalmers tekniska högskola
- KTH Royal Institute of Technology
- Linkopings universitet
- Malmo University
- Malmö universitet
- Stockholms universitet
- Umeå universitet
- Chalmers Tekniska Högskola
- Faculty of Odontology, Malmö University
- Högskolan Väst
- Institutionen för akvatiska resurser
- Institutionen för biomedicinsk vetenskap
- Linneuniversitetet
- Luleå University of Tehnology
- Mälardalens universitet
- RISE, Research Institutes of Sweden AB
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Science
- The University of Gothenburg
- Uppsala University
- 26 more »
- « less
-
Field
-
strong interest for microbial soil processes and an ability to conduct field work in remote places. A driving license valid in Sweden (required for accessing the field sites) Merits: Merits
-
) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
-
oral communication skills in English. Meritorious: Knowledge and experience in: working with statistical methods and analyses. programming and data processing. We place great emphasis on personal
-
the position and why you are especially qualified for it. Your workplace You will be employed in the Reasoning and Learning Lab (ReaL), Division of Artificial Intelligence and Integrated Computer Systems (AIICS
-
Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine learning, and control is essential
-
admission process. Do not include recommendation letters. The application may need to contain the following: A secondary research text authored by the applicant. It is mandatory to submit a secondary research
-
doctoral education. The PhD position is linked to Section 1 at the Faculty of Odontology (Oral Biology and Pathology) with collaboration within Section 2 (Maxillofacial Surgery and Materials Science and
-
conducting experiments at SLU's experimental facility Lövsta, as well as field work at chicken farms and slaughterhouses. A large part of the working time will be spent compiling, statistically processing and
-
. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
-
: (i) development of low impacting functional inks, (ii) development of bioderived films, (iii) development of processes for the printing of the developed materials and (iv) optimization of processes and