Sort by
Refine Your Search
-
organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
-
the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a
-
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
-
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
-
accessible, transparent, and reusable. Key tasks include: - Developing, applying, and validating methods for statistical disclosure control and synthetic data generation, ensuring compliance with formal
-
require further information, please do not hesitate to contact Dr. Veronika Vetýšková (veronika.vetyskova@leibniz-inm.de) or Prof. Wilfried Weber (wilfried.weber@leibniz-inm.de). The INM practices an open
-
biology, including: Genetic engineering of human malaria parasites (CRISPR/Cas9, DiCre, etc.) A broad spectrum of cutting-edge imaging methods (live-cell and time-lapse fluorescence microscopy
-
Landscape Research) campus in Müncheberg, near Berlin, and is integrated into regional, national, and international (biodiversity) research networks. Your Tasks Develop and apply methods to extract
-
, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward
-
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