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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
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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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the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a multiscale analysis of the mass distribution, as well as that of the flow field
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under varying lighting, fabric blends, and soiling; (5) porting the inference pipeline to an embedded/edge-compute platform; (6) integrating with our robotic pick-and-place cell for iterative field trials
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modelling (inc. mixed effects regression models and/or Bayesian statistics). You have experience in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, participant
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models (e.g. mixed-effects regressions, Bayesian analyses). You preferably have experience supervising and/or teaching students. You preferably have knowledge of swarm robotics and/or deep learning
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, encryption/decryption and compression; use of microelectronics devices (including COTS); implementation, inference, verification and validation of algorithms** on processing hardware platforms for space