Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on
-
facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
-
. 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
-
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
-
for such assessments. This framework will address the limitations of conventional static accounting of climate impacts in wood products and buildings LCA, and present dynamic parameters to consider in the dynamic LCA
-
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
-
: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
-
cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
-
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
-
creativity, thoroughness, and a structured approach to problem-solving. Additional qualifications Experience and courses in one or more subjects are valued: estimation theory, statistical machine learning