Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
-related issues. Demonstrated training or experience with using econometric methods (e.g., differences-in-difference, regression discontinuity, instrumental variables, fixed effects for panel data, matching
-
also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring, neurodevelopment as
-
or other relevant programming language skills Experience in the following will also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis
-
(or heavy ion) therapy Familiarity with image reconstruction methods, ideally applied to particle-camera-type radiation detectors such as those used for nuclear non-proliferation or medical imaging
-
care sectors and employs qualitative and ethnographic research methods. About the two positions The two successful applicants will form a research team in the WAGE project alongside project leader Ines
-
the position, preferably with a focus on health-related issues.- Demonstrated training or experience with using econometric methods (e.g., differences-in-difference, regression discontinuity, instrumental
-
medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors
-
original in vitro and in vivo experiments in an independent and innovative way Formal training and significant experience with animal experiments is a requirement Laboratory animal training according to 2010
-
diploma or documentation of formally delivered doctoral thesis (translated to English if necessary; Scandinavian languages are accepted). References. Letters of recommendation from the graduating university
-
of formally delivered doctoral thesis (translated to English if necessary; Scandinavian languages are accepted). References. Letters of recommendation from the graduating university or previous employers