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structured tenure-track system and the potential to become a Full Professor within 10 years? Do you want to apply your knowledge to cutting-edge challenges in wearable health devices, sensorized prosthetics
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research qualities, as shown by a publication record in international peer-reviewed journals and proceedings of renowned conferences and a research statement a great affinity with and a good track record in
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Are you an expert in game theory, optimization, and strategic decision-making? Are you looking for a career development opportunity with a structured tenure-track system and the potential to become
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by a publication record in international peer-reviewed journals and proceedings of renowned conferences. A good track record in teaching, appropriate to your career stage. Demonstrable organizational
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. mixed effects regression models and/or Bayesian statistics). You have experience in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, participant testing, report
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, PB-NAV and QPM) as set out by internal ESA and programme-level governance with the European Commission and EUSPA; preparing, managing and tracking the workforce, as well as managing costs, schedules
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regressions, Bayesian analyses). You preferably have experience supervising and/or teaching students. You preferably have knowledge of swarm robotics and/or deep learning artificial neural networks (e.g. CNN
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requirements associated with ESA payloads and research throughout the life cycle of the space activity or mission; Monitoring associated technology developments and tracking scientific performance through
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automatic tracking of muscle fascicle kinematics. You will be developing a proof of concept of the real-time control of a bionic ankle-foot based on online ultrasound sensing of the ankle muscle fascicle
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to microeconomics (individual choice, aggregate supply, and demand, equilibrium), econometrics (endogenous variables, choice modeling), statistics and probability, Bayesian modelling, machine learning, and deep