Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- Lulea University of Technology
- Jönköping University
- Linnaeus University
- Mälardalen University
- Nature Careers
- University of Lund
- Blekinge Institute of Technology
- 2 more »
- « less
-
Field
-
, evidence of prior teaching and/or industry experience). A copy of your Master thesis (if not finished at the time of application, please send a current draft or an executive summary of it) and, where
-
records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s information
-
citizens need to submit an attested copy of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at www.slu.se/en/education/programmes
-
of records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s
-
qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
-
transcripts records with grades. A copy of your Masters thesis or link to the published version. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and
-
of records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s
-
of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
-
developing AI methods for automated microstructure analysis and 3D microstructure generation. By combining self-supervised learning and diffusion-based generative models, the goal is to: Reconstruct high
-
CV listing relevant academic degrees, previous employment, and a transcript of university courses and grades. A copy of your degree certificate or verified documentation confirming that the degree