Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Luleå tekniska universitet
- Lunds universitet
- Linköping University
- Lulea University of Technology
- Uppsala universitet
- Blekinge Institute of Technology
- Karlstad University
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- The Royal Institute of Technology (KTH)
- Umeå University
- University of Lund
- universitypositions
- 6 more »
- « less
-
Field
-
, Department of Mechanical Engineering, focused on innovative research in fluid-structure interaction of wind-powered ships. About us At the Department of Mechanical Engineering , we unite the power
-
an advantage if you have knowledge and experience in dairy technology, dairy processing, or the structure, functionality, and quality of fermented dairy products, knowledge of protein structure, aggregation, and
-
cover areas such as industry (mining, forestry, steel and construction), health and medical care, education and retail. Organisationally, Human Work Science is part of the Division of Human and Technology
-
-10 Last application date: 2026-09-19 Where to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2026/postdoc… Requirements Research FieldChemistryYears of Research
-
programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). The Structural Chemistry section at the Department of Chemistry – Ångström
-
23 Sep 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Physics, Department of Physics and
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
that such stacks should behave as one-dimensional metals, and potentially as superconductors. We have made a phase whose average structure matches that prediction in synchrotron powder diffraction and neutron total
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
forensics and environmental mineralogy. Research and education in this subject address environmental issues tied to the mining industry, infrastructure construction, acid sulfate soils and sulphide-bearing