Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- Linnaeus University
- SciLifeLab
- Lulea University of Technology
- Jönköping University
- Mälardalen University
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- The Royal Institute of Technology (KTH)
- University of Borås
- 5 more »
- « less
-
Field
-
experience in project design, analyses, interpretation and scientific publication and be involved in a project that develops future AI tools for genomic analysis. Examples of areas in which the scholarship
-
nearing completion of their PhD are also encouraged to apply. Demonstrated early career achievements, including scientific publications. Experience with characterization techniques for studying
-
teaching and pedagogical experiences Personal letter: (Please name the document as: Personal letter, Family name) 1-3 pages where you: • Introduce yourself • Describe your previous research fields and main
-
programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
-
Agency for Government Employers). Previous experience and expertise in any of the following areas is meritious: stochastic analysis, interacting particle systems, large deviations, stochastic control
-
communication skills in English, both written and oral. Strong ability to work independently and take initiative. Collaborative mindset and willingness to engage in interdisciplinary work. Demonstrated experience
-
environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome
-
. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your application: - Background in strong
-
. Proficiency in programming languages, compilation techniques and optimizations. Proficiency in C, C++, and/or Rust. Merits: Experience with e-graphs. Familiarity with theory and algorithms used by, for example
-
: The successful candidate should have a PhD in physics or a closely related area. Ideally the candidate should have experience with cryogenic measurements of superconducting circuits, including microwave