Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Uppsala universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Umeå University
- Chalmers tekniska högskola
- Umeå universitet
- Linköping University
- SciLifeLab
- Nature Careers
- Umeå universitet stipendiemodul
- Linköpings universitet
- Lulea University of Technology
- Luleå tekniska universitet
- Lund University
- chalmers tekniska högskola
- European Magnetism Association EMA
- Göteborgs universitet
- KTH
- Karolinska Institutet
- Linköpings University
- Linneuniversitetet
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Örebro University
- 18 more »
- « less
-
Field
-
mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will
-
for improved nutritional value in future crop varieties. The postdoc will be expected to also supervise Masters/PhD students working within the defined project. Your profile The ideal candidate will have
-
and their sustainability aspects. Collaborate closely with other members of the group and experts in organic chemistry and plant biology, engaging in interdisciplinary research. Network at international
-
Technology and Policy research group which focuses on understanding the feasibility of climate action and developing approaches for anticipating transitions. The group has a rich international network and a
-
Description of the workplace The role will include engagement with two key national competence centres with a broad industrial and academic network: Swedish Electromobility Centre and Swedish
-
which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. The position offers excellent opportunities for networking with district heating
-
Institutet, comprising over 60,000 nasal secretion samples with defined protection correlates. Detailed IgA characterization will inform recombinant IgA design, which will be tested in stem cell-derived nasal
-
case studies from these regions. Skills and proficiency in working with open-source software programs, such as QGIS and R, are advantageous, as well as demonstrated ability to contribute
-
3D MT data and familiarization with 3D anisotropic inversion software; Acquisition of new regional 3D MT data, data processing and 3D inversion; Interpretation of anisotropic models and integration
-
regulators of disease onset and progression. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating