Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Umeå University
- Swedish University of Agricultural Sciences
- Sveriges Lantbruksuniversitet
- Linköping University
- Linköpings universitet
- Lunds universitet
- Umeå universitet
- University of Lund
- Karolinska Institutet, doctoral positions
- Mälardalen University
- SciLifeLab
- University of Gothenburg
- Linkopings universitet
- Lulea University of Technology
- Luleå University of Technology
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Institutionen för biomedicinsk vetenskap
- Jönköping University
- KTH Royal Institute of Technology
- Linneuniversitetet
- Luleå University of Tehnology
- Mälardalens universitet
- Nature Careers
- School of Business, Society and Engineering
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Science
- Swedish University of Agricultural Sciences (SLU)
- Uppsala University
- 22 more »
- « less
-
Field
-
redefinition. Architectural discourse has often relied on standardized bodily models that mask the diversity of lived, gendered, and capacitated experiences. In response, this project explores how a multiplicity
-
in another way. Knowledge of mathematical modeling, building simulation, CFD or measurements is an advantage. You also have a genuine interest in energy issues in general and see this as an important
-
tumour specific antigens (e.g. EPCAM) in magnetic nanoMIP and fluorescent nanoMIP formats. The doctoral candidate shall support MIP design with molecular modelling and undertake nanoMIP synthesis
-
safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient
-
well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work (with processing of ore and mineral) is carried out in our well-equipped mineral processing laboratory with access
-
doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
-
. Possible research directions include new memory models, new dynamic techniques for detecting and handling concurrency errors, and new implementations of runtimes rethinking how concurrency is handled. Duties
-
consists of three pillars: material characterization (mineralogical and particle analyses), unit operations (such as comminution and separation processes) as well as system engineering approaches (modeling
-
on understanding how conifers adapt to new environments by developing genetics-based models for predicting future tree performance under changing climates. For more information about the departments, visit
-
developing genetics-based models for predicting future tree performance under changing climates. For more information about the departments, visit: Department of Forest Biomaterials and Technology | slu.se