Sort by
Refine Your Search
-
application! We are looking for a PhD student in Wireless Communication and Computer Vision. Your work assignments Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes
-
application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
-
consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
-
master's with a focus on biomedicine, bioinformatics or equivalent, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in biology, chemistry/pharmacology
-
, analytical chemistry, chemistry, chemical biology, chemical engineering, microbiology, environmental science and technology, or equivalent. Documented practical experience and theoretical knowledge
-
and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
-
importance to the research area. Relevant academic backgrounds are biotechnology, analytical chemistry, chemistry, chemical biology, microbiology, environmental science and technology, or equivalent
-
educational technology on learning in public educational spaces. You are expected to produce research outputs relevant to the fields of visual learning and communication, and computer science. These outputs
-
center located in Norrköping, Sweden, with a PhD program in Analytical Sociology and an international Masters’ program in Computational Social Science. The research strengths of the IAS include the study
-
teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at a Master’s level in Computer Science, Mathematics, or a closely related subject