Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
identifying high risk individuals and groups. The PDRA will translate conceptual frameworks into mathematical models of complex cross-scale disease dynamics across different epidemiological scenarios. A key
-
of differing background aerosol composition and to relate these distributions to in-cloud turbulence and cloud brightening. The Doppler lidars at the pier and on Mt. Soledad characterized sub cloud TKE profiles
-
biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
-
the contribution of different medial temporal lobe areas such as CA1, CA3, DG, MEC, LEC, PrC, POR to memory in health, aging and in animal models of amnesia. Memory for time, space and episodes as
-
pulse propagation, the material response, and other aspects of our experiments. Coding in Python Assisting with the filing and generation of intellectual property and technology transfer Assisting in
-
will be involved in: Processing global oceanographic data (e.g. WOA, Copernicus) and CMIP6/CMIP7 Earth System Model outputs (historical and under different Shared Socioeconomic Pathways) to generate a
-
have solid programming experience and are comfortable working with complex software systems. You write Python proficiently, and your C++ skills exceed the beginner level. You have experience in
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build
-
-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build
-
., CNNs, UNets, Transformers) Demonstrated experience working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and hands-on experience with deep learning