Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Umeå University
- Lunds universitet
- Swedish University of Agricultural Sciences
- University of Lund
- Linköping University
- Sveriges Lantbruksuniversitet
- SciLifeLab
- Nature Careers
- Umeå universitet
- Linköpings universitet
- Lulea University of Technology
- Luleå University of Technology
- Mälardalen University
- Högskolan Väst
- Malmo University
- The University of Gothenburg
- Chalmers University of Techonology
- Chalmers tekniska högskola
- European Magnetism Association EMA
- Faculty of Odontology, Malmö University
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Luleå University of Tehnology
- Luleå tekniska universitet
- Malmö universitet
- Mälardalens universitet
- School of Business, Society and Engineering
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences (SLU)
- 23 more »
- « less
-
Field
-
, including: development of AI models and methods for energy systems integration of the AI agent with energy system models methods for transparency, explainability, and uncertainty handling applications in case
-
assignments Your tasks will be to carry out research using advanced theoretical and computational methods within quantum mechanics and statistical physics with the aim to study novel materials synthesized
-
offline. The project employs a multi-method qualitative approach, combining interviews with gang-related individuals and stakeholders with a hybrid ethnography that observes gangs’ presence and practices in
-
admission, the applicants’ merits from prior education are the main basis for assessment. Breadth, depth, and relevance, as well as elements of independent work, shall be taken into account. Terms and
-
sustainable systems. One issue using hydrogen is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project
-
applying methods such as genome editing, live-cell imaging, and/or biochemical assays will be valuable, as the project involves perturbing protein localization in human adipocytes and assessing downstream
-
molecular simulations. Previous hands-on experience in more than one of the following methods is considered an advantage: molecular simulations, Python programming, machine learning, or quantitative analysis
-
on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
-
noble-metal tellurides. The researcher will work together with PhD students, postdocs, and a research engineer, to perform the experiments. Description of the work duties: to perform synthesis
-
analysis, and greenhouse experiments. Analyse ecological and evolutionary data using appropriate statistical methods Collaborate with an interdisciplinary research team and contribute to group discussions