-
of Physics and Astronomy. AIPAD tackles the above questions by developing two innovative AI algorithms: The first algorithm will infer full SEP pitch-angle distributions (PADs) for spacecraft measurements
-
project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
-
developed by the project partners will be based on two key technologies: machine learning algorithms that generate artificial yet realistic data points (synthetic health data) and secure multi-party
-
technologies, health and climate. We are a multi-cultural and cross-disciplinary team. You will train in AI applications with experienced developers, meet our global network of collaborators, join us at
-
aims to train experts and leaders in the broad field of immunology who will advance research to address the needs in the prevention and treatment of immune-mediated diseases. Its goals are breakthrough
-
inclusivity. We encourage all qualified applicants with different backgrounds to apply for our open positions. Benefits We offer you responsible and interesting tasks and the opportunity to develop your
-
, single cell multi-omics methods and in vivo imaging. As a Postdoctoral Researcher, you will play a crucial role in discovering the signals and mechanisms that orchestrate cell plasticity and develop next