-
nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily on collaborations with clinicians, which
-
projects are multidisciplinary in nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily
-
. General description of the DDLS program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
-
mixed computational and experimental lab working at the intersection of computational biology, virology, immunology, and evolution. See here for recent work: https://scholar.google.com/citations?user
-
, 40h week for 6 months. Your mission The Petter Brodin research group develops and applies experimental and computational research methods for systems-level analyses of human immune systems. The aim
-
against COVID-19. The team is interdisciplinary, comprising biologists, and computational biologists who collaborate to explore cutting-edge questions in B-cell immunology and malignancy. We offer a
-
computational biology as well some basic knowledge on cancer genetics. The project entails analysing next generation sequencing data from liquid biopsies from cancer patients. The tasks will specifically consist
-
physiology. A major research effort during the coming years will be to analyze gene- environment interplay in musical skill learning in a cohort of Swedish twins, using a combination of behavioral measurements
-
Do you want to contribute to top quality medical research? We are looking for a Research Assistant to the department of Clinical Science, Intervention and Technology in Marco Gerling’s research
-
Do you want to contribute to top quality medical research? The Strategic Research Programme in Diabetes (SRP Diabetes) at Karolinska Institutet is funding a prestigious fellowship programme for