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techniques including graph neural networks, Bayesian neural networks, conformal prediction intervals and generative AI for synthetic data generation. You will also develop frameworks for uncertainty
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networks, Bayesian neural networks, conformal prediction intervals and generative AI for synthetic data generation. You will also develop frameworks for uncertainty quantification in forecasting and
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, Bayesian modelling, or other formal models of decision-making and learning). Furthermore, your suitability is further supported by: a track record of publications in peer-reviewed journals; the ability
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, methodologies, and information derived from Bayesian modeling, data science, cognitive science, and risk analysis. Its primary objective is to create advanced forecasting models, generate meaningful indicators
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), and physiological parameters in the study of animal behaviour; a strong background in data analysis using R, preferably experience with Bayesian statistics and social network analysis; lab experience
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competence in three-dimensional Lagrangian Particle Tracking, Object-Aware Shake-the-Box algorithms and helium-filled soap bubbles seeding for large-scale 3D-LPT experiments. You are familiar with LaVision
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which system theories to focus on). We will support you in developing a unique and coherent research trajectory to prepare you for what you wish to do afterwards (personal grant acquisition, tenure-track
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of provability talk, in particular with reference to the objectives described in the relevant Work Package of the project proposal; Have regular meetings with the supervisor and take part in all of the project’s
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reference to the objectives described in the relevant Work Package of the project proposal; Have regular meetings with the supervisor and take part in all of the project’s activities, including research
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of the Next Generation Gravity Mission (NGGM) will rely on the high-accuracy measurement of the variation in inter-satellite distance due to the time-varying gravity field via a laser tracking instrument and