18 Statistics "Fundació Hospital Universitari Vall d'Hebron Institut de recerca" positions at Karolinska Institutet
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
methodological statistics, epidemiology, medicine, public health, among others. Institute of Environmental Medicine is a department at Karolinska Institutet and an interdisciplinary research institution within
-
mechanisms, biomarkers and drug targets for early diagnosis and prevention of cancer. Your duties include performing machine learning and statistics on such mechanisms, biomarkers and drug targets under
-
differs. This will be done using register based epidemiology. The main task is the production of scientific articles for publication. The applicant is expected to plan and perform statistical analyzes
-
, statistics, and social sciences. Your mission The research assistant will organize data collection, collect the data in schools, clean the data, and contribute to the analysis and writing the reports
-
are believed to be involved in cluster headache pathophysiology. Experience in working with laboratory assays such as qPCR, western blot and immunohistochemical staining and using statistical programs such as
-
to identify novel and repurposing drug targets. Comprehensive knowledge of epidemiological methods (such as cohort, emulated target trial), omics and pharmacoepidemiology. Documented experience with statistical
-
researcher will be based at the Division of Psychology , Department of Clinical Neuroscience, Karolinska Institutet. The postdoctoral researcher will mainly work with data collection, statistical analysis
-
and a solid understanding of statistics for image data analysis are preferred. The successful candidate have a high level of self- motivation and independency, work well with others in a team and are
-
genetics and molecular biology of malaria, including both, Plasmodium falciparum and P. vivax, with relevant experience in genetic epidemiology and pharmacogenetics of antimalarial drugs. Statistics skills
-
. Proved experience in writing and publishing in peer-reviewed journals of high-quality scientific papers. Excellent command of statistical software (e.g., Stata, SPSS, R). Excellent written and oral