Responsibilities include:

• Development of fast and precise event generation methods for MadGraph using the ML-based MadNIS framework
• Devolopment of the first ML event generator aka MadGraph7
• Development of Bayesian techniques to better quantify PDF uncertainties
• Teaching and supervision of students

Responsibilities include:

• Development of interpretable, controllable and robust ML methods for precise PDF fitting within the NNPDF framework
• Development of fast and precise event generation methods for MadGraph using the ML-based MadNIS framework
• Teaching and supervision of students

Responsibilities include:

• Development of fast and precise event generation methods for MadGraph using the ML-based MadNIS framework
• Teaching and supervision of students