Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
with a biological/immunological cell response; Cell culture of immune cells and molecular biological measurement methods (including flow cytometry); Measurement of oxidised proteins using mass
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM research group
-
knowledge in the application and development of NGS wet lab or computational methods for the analysis of genome data for molecular biodiversity research, have strong experience in data management and analysis
-
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
-
Oceanography, Marine Observation, Marine Chemistry, Biological Oceanography and Marine Geosciences departments work together in an interdisciplinary joint research programme. What will be your tasks? Within
-
, Marine Geoscience, Physical Oceanography and Marine Observation) cooperate within the framework of a joint research program. Project and job description Within KOFI, the long-term carbon storage of marine
-
them with a biological/immunological cell response; Cell culture of immune cells and molecular biological measurement methods (including flow cytometry); Measurement of oxidized proteins using mass
-
stepped-care prevention program with the following core components: “Mental health project days”, A digital emotion regulation training, and Tailored e-mental health modules, depending on the individual
-
research agenda in this field, connecting research on Financial Economics with ongoing research on climate and biodiversity. A quantitative research approach and experience with the latest empirical methods