Sort by
Refine Your Search
-
7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
-
postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
-
Biophysics environment at SciLifeLab, Solna, a collaborative hub for experimental and computational biophysics research. The shared resources, including cutting-edge cell biology laboratories, advanced
-
at the Wallenberg Laboratory. The group is part of the national Data-Driven Life Science (DDLS) program, funded by the Knut and Alice Wallenberg Foundation. Their research focuses on developing computational methods
-
. The project is part of a consortium exploring microbial production of biofuel. The student will work with postdocs and there is the possibility for visits to collaborating laboratories in Finland and France
-
maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
-
maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
-
administrative support systems Solid computer skills and proficiency in Microsoft Office (including Excel), and the ability to adopt new digital tools is required. Fluency to express yourself in speech and writing
-
other experts within the Support for Computational Resources unit at NBIS and related organisations, notably SciLifeLab, National Academic Infrastructure for Supercomputing in Sweden (NAISS), and EuroHPC
-
, molecular biology, computer science or related subjects the employer considers of relevance to the position Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high