-
the forefront of emerging questions around stability, interoperability and control of large-scale power electronic infrastructures. Outstanding candidates will find an environment that combines scientific freedom
-
that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
-
combines hands-on scientific leadership, bioprocess innovation, and strategic project coordination within the Laboratory of Molecular Virology and Gene Therapy (LMVGT), while collaborating closely with
-
Address challenges related to stellar variability and observational biases by combining astrometric and photometric data Analyse large samples of evolved binary stars to map their orbital properties Study