Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Linköping University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Lulea University of Technology
- Lunds universitet
- Luleå University of Technology
- Luleå tekniska universitet
- Blekinge Institute of Technology
- Karolinska Institutet, doctoral positions
- Mälardalen University
- Stockholms universitet
- The Swedish University of Agricultural Sciences
- Umeå universitet
- University of Lund
- Chalmers University of Technology
- Göteborgs universitet
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Institutionen för Biologi och miljövetenskap
- Institutionen för mark och miljö
- Jönköping University
- KTH Royal Institute of Technology
- Linnaeus University
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- 16 more »
- « less
-
Field
-
and theoretical work. You will learn how to collect and analyse data within your research area as well as communicate your results at national and international conferences and in scientific journals
-
the student to progressively acquire knowledge in scientific methodology, experimental research, data analysis, and scientific communication. As part of your doctoral studies, your duties will include
-
for latent variables and their connections to modern machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates
-
and ability to communicate clearly Merits include: Knowledge of LLMs, deep learning, and Python programming Knowledge of power electronics Experience in modelling, simulation, and experimental work In
-
, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a specific subject see General syllabus
-
for the learning and research tasks. Necessary qualifications: The applicant should by the date of admission to PhD studies have a second-cycle degree (e.g. MSc or equivalent) in environmental science or management
-
within a Research Infrastructure? No Offer Description The Department of Ecology, Environment and Plant Sciences (DEEP) conducts research and offers education at the Arrhenius Laboratories on the Frescati
-
other reactive molecules, can affect corrosion rates, the release of radionuclides, and the material properties of both reactor materials and the barrier materials used in a deep geological repository for
-
materials and the barrier materials used in a deep geological repository for spent nuclear fuel. In a collaborative project with KTH Royal Institute of Technology, funded by the Swedish Research Council
-
, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a