Sort by
Refine Your Search
-
School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems
-
School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The National Spatial Proteomics Facility is a unit within the
-
between AstraZeneca, Royal Institute of Technology (KTH), and Karolinska Institutet, financed by Data-Driven Life Science (DDLS). The successful candidate will also be part of the DDLS Research School. You
-
at the Division of Computational Science and Technology, Royal Institute of Technology and Dr. Avlant Nilsson at the Department of Cell and Molecular Biology, Karolinska Institutet. What do we offer? A creative and
-
-supervised by Professor Joakim Larsson at the Department of Infectious Diseases, University of Gothenburg, Johan Bengtsson-Palme, Chalmers University of Technology, and Dr. Anna Johnning, Fraunhofer-Chalmers
-
of evolution, ecology and genomics of nitrogen cycling microorganisms as well as how to apply this knowledge in sustainable agricultural and environmental engineering. The project includes database management
-
internationally recognized in the areas of evolution, ecology and genomics of nitrogen cycling microorganisms as well as how to apply this knowledge in sustainable agricultural and environmental engineering. The
-
-supervised by Professor Joakim Larsson at the Department of Infectious Diseases, University of Gothenburg, Johan Bengtsson-Palme, Chalmers University of Technology, and Dr. Anna Johnning, Fraunhofer-Chalmers
-
department with an aim to reveal structures of biomedical datasets using algebra, topology, and geometry,and Assistant professor Nilsson who recently joined from the Massachusetts Institute of Technology (MIT
-
-icelab/ Qualifications The doctoral student will be admitted to study the third-cycle subject, Computational Science and Engineering (CSE), specialising in mathematics. To be admitted for studies at third