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science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest in the interplay between wireless systems
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learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics, Statistics, or Theoretical Physics at the time of
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interest in AI, machine learning, and NLP. • Experience or education in health data science or a health-related field is a plus. • Strong programming skills in Python with the ability to
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, dynamic modelling and control, mathematical optimization, or data-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good