Sort by
Refine Your Search
-
Employer
-
Field
-
. Digital technology has become an enabler for changed ways of living and doing business. In our research, we study these changes and change processes and we study the interaction between humans and
-
method for understanding complex genomic alterations. While sequencing technologies have made a leap forward, work is still needed on the computational side to fully use the technology. This is an
-
importance to the research area. Relevant academic backgrounds are biotechnology, analytical chemistry, chemistry, chemical biology, microbiology, environmental science and technology, or equivalent
-
frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology
-
standalone open Biology courses, a natural science preparatory year, and the industrial engineering and management program with a focus on biological resources and sustainable use. You can read more about the
-
must have an educational background that corresponds to the project's topic (for example in one or more of the topics: space physics, plasma physics, astrophysics, engineering physics, computational
-
machine learning, engineering, data sciences, applied mathematics, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
-
Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made
-
, probability theory, etc) A competence in quantitative topics equivalent to a mathematics, statistics, physics, computer science, or engineering degree is required (if your degree was not in one of these domains
-
. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics