Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
-
’ ecological interactions. The unit holds a long and internationally well-reputed history of performing research on ecology and evolution of plant-insect interactions. Read more about our benefits and what it is
-
of on-site construction production processes, as well as sustainable development. You will also demonstrate independence, creativity, and strong collaboration and analytical skills. Research environment
-
life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
-
on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
-
Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
-
. The planned dissertation work focuses on how employees within the municipal company Vakin work with data management, and how organizational structures affect the possibility of creating a data-driven culture
-
development in plant genetics and plant breeding. You enjoy working both independently and in a team, and have a good ability to structure your work. Place of work: Alnarp Forms for funding or employment
-
for studying the effects of climate and land use change on animals, plants and soils. We seek solutions that contribute to a sustainable society through research on greenhouse gas balance, biodiversity
-
We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims