Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Uppsala universitet
- Lunds universitet
- Linköping University
- University of Lund
- Umeå universitet
- Swedish University of Agricultural Sciences
- SciLifeLab
- Linköpings universitet
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Sveriges lantbruksuniversitet
- Karolinska Institutet, doctoral positions
- Luleå tekniska universitet
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- University of Gothenburg
- Chalmers tekniska högskola
- Högskolan Väst
- KTH Royal Institute of Technology
- Linkopings universitet
- Lulea University of Technology
- Malmö universitet
- Chalmers Tekniska Högskola
- Chalmers University of Technology
- Chalmers University of Techonology
- Faculty of Odontology, Malmö University
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- Linneuniversitetet
- Luleå University of Tehnology
- Mälardalens universitet
- School of Business, Society and Engineering
- Stockholm University
- Swedish University of Agricultural Sciences (SLU)
- The University of Gothenburg
- 27 more »
- « less
-
Field
-
for this position. Experience of working with tracking of impurities and chemical pollutants, wood waste recycling, or characterisation of secondary materials for use in various industrial value chains is an
-
be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity: experience in molecular biology with fungi familiarity with fungal genetics strong
-
on their capacity to benefit from the training. The following criteria will be used to assess this capacity: experience with bioinformatic work experience in evolutionary genomic work familiarity with fungal biology
-
field. Meritorious qualifications include: -knowledge of IoT, Industry 4.0, smart systems, or AI-assisted automation engineering, -experience with distributed control systems, cyber-physical systems
-
the foliar late blight pathogen Phytophthora infestans, the seedling damping off pathogen Pythium ultimum and the related beneficial oomycete Pythium oligandrum and includes experiments in controlled
-
different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly
-
by combining state-of-the-art computer simulations, physical experiments, and clinical studies in radiology departments at the hospitals in the region. You will work in a multi-disciplinary team and
-
requires excellent study results at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good
-
genetic, phenotypic, and environmental data, testing when and how evolution can be forecast. As a PhD student in our group, you will gain hands-on experience in computational and mathematical modeling and
-
different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly