Sort by
Refine Your Search
-
established a large pan-European network of > 150 researchers. The large datasets from both, the RMO and the Synthesis Center, require careful quality assurance/quality control and data management, and provide
-
). The park is situated within a large network of protected forested harboring a diverse community of large mammals including several species of nonhuman primates. We currently observe three large multi-male
-
goal is to provide insights into the effects of environmental factors on health and to develop methods for large-scale, cost-effective health research using satellite technology. Through data competence
-
). The institute also maintains locations in Dedelow and Paulinenaue. The position will be based in the Research Platform “Data Analysis and Simulation“ within the Working Group “Ecosystem Modelling“ under
-
infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
-
datasets, such as large-scale data, text as data, or satellite imagery (‘Big Data Economics’). The ifo Institute is one of Europe’s leading economic research institutes. Research at ifo combines academic
-
learning, mathematics, physics, or similar field Experience in Python and at least one deep learning framework like PyTorch or TensorFlow Experience with analyzing large data sets or in advanced computer
-
project management skills strong programming experience (e.g. Python, Linux Bash scripting, CDO). expertise in processing large-scale data sets, especially NetCDF files is a plus specialist knowledge in
-
The Leibniz Institute for the Analysis of Biodiversity Change (LIB) is one of the large, globally connected research museums of the Leibniz Association. In addition to excellent research
-
participate in scientific discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team and a sincere interest in analysis of large scale data