Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Umeå University
- SciLifeLab
- Chalmers University of Technology
- Jönköping University
- Nature Careers
- Karlstad University
- Mid Sweden University
- Lunds universitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- KTH
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linköping University
- Linnéuniversitetet
- Lund University
- SLU
- University of Borås
- Uppsala universitet
- 10 more »
- « less
-
Field
-
has aimed to develop a two-part research programme. The first part focuses on developing and applying methods for 3D digital modelling, ranging from the collection of digital data from archaeological
-
. In this project, you will work on nanoparticle research in close collaboration with Dr Cindy Xiao, analyzing cryo-TEM and scattering data and integrating these results to draw scientifically robust
-
workplace meetings and staff days. More information about PhD studies is found here . Qualifications General requirements To be admitted to studies at the third-cycle level, i.e. doctoral education, the
-
at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with
-
to finished product. Functional finishing of textile materials and AI-based quality assessment with feedback to production before defects occur. Data collection and management in the university’s laboratory
-
stressful situations. Other information These (4-6) positions are summer temporary positions (20–40 %) for the period 15 Juni 2026 – 27 September 2026, or as otherwise agreed. Working hours are irregular
-
, information processing, communication systems or medical imaging. Internationally, quantum technology is divided into three pillars - quantum computation and simulations, quantum communication and networks, and
-
information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
-
two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two
-
teaching skills and for personal development. For more information about our PhD program, please visit our information page. We offer fully financed positions to our doctoral students who receive competitive