-
programming models and high-performance computing techniques and machine learning models. Practical experience in the programming of high-performance computing of AI and/or scientific computing applications
-
intelligence, machine learning and data science. You will play an active role in the research team, publish papers, take part in workshops, public events and other activities. The candidates should have a
-
, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
-
and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
-
) recordings, based on machine learning and signal processing methods. The work involves machine learning for image processing, processing and decoding of EEG signals, and EEG data collection. - You should
-
. More concretely your work package, for the preparation of a doctorate, contains: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We
-
interdisciplinary team with clinicians and engineers; You have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and
-
tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
-
processing, or networking (preferred). You have strong background in machine learning or deep learning (experience with deep learning frameworks such PyTorch and TensorFlow is a plus). You have solid
-
analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within