Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Linköping University
- Umeå University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Sveriges lantbruksuniversitet
- Uppsala universitet
- Mälardalen University
- Nature Careers
- University of Lund
- Linnaeus University
- Lunds universitet
- Mid Sweden University
- Umeå universitet
- Uppsala University
- 6 more »
- « less
-
Field
-
. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology
-
large language models (LLMs)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create
-
)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create multimodal systems. The emphasis is
-
. Our group is fascinated by one of biology’s deepest questions: how does development—the process by which genes and environments build organisms—shape the potential for populations to evolve? We study
-
to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
-
focused on mass spectrometry and development of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and
-
. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data
-
novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
-
SEEC, as well as to coordinate the processing, analysis, and presentation of surveillance data to the research community, stakeholders, and the general public. In addition, the role includes producing
-
consequences of keel bone deviations: What impact do these have on hen behaviour and wellbeing? high-tech welfare assessment: Help develop a non-invasive computer vision method to track and analyze how hens move