Sort by
Refine Your Search
-
with mathematical modeling and machine learning methods will ultimately allow us to predict the entire recognition space for any given TCR sequence. Our work is embedded into close collaborations with
-
to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large-scale datasets Implement parallel ML
-
on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
-
Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 2 hours ago
sources in the LISA data; Machine-learning methods to LISA data analysis; A Waveform Generator pipeline that can deliver signal models for all source types expected to be present in the LISA data; Fast and
-
/Qualifications Experience in combining geophysical data from aero and satellite observations with in-situ observations is desired. Numerical methods such as inversion or machine learning should be used to gain a