Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Linköping University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Uppsala universitet
- University of Lund
- Lulea University of Technology
- Lunds universitet
- Luleå University of Technology
- Jönköping University
- Mälardalen University
- 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
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- The Swedish University of Agricultural Sciences
- 12 more »
- « less
-
Field
-
higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
-
, transcriptomics, bioinformatics, and advanced imaging. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships. We continuously strive
-
2026, or as otherwise agreed. Description of the Doctoral Project and Research Group The doctoral position is based in the Pancreatology Research Group within the Division of Surgery at Lund University
-
Subject area: Biology Description of the PhD projects We are seeking two PhD students in the field of biogas production, with a focus on the digestion process. The biogas process is currently
-
or environmental monitoring; Collect, manage, analyse, and interpret data using transparent and reproducible workflows; Conduct evidence synthesis, meta-analysis, comparative analyses, or environmental modelling
-
relevant, field sampling or environmental monitoring; Collect, manage, analyse, and interpret data using transparent and reproducible workflows; Conduct evidence synthesis, meta-analysis, comparative
-
multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
-
the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
-
studies ranging from the development and preclinical evaluation of radiopharmaceuticals to biological characterization, quantitative image analysis, and assessment of treatment response. Within the research
-
during the cellular response to DNA damage and how these processes safeguard genome and epigenome integrity. The successful candidate will combine cell biology, biochemistry, high-content imaging, and