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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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, spectroscopic and electrochemical methods) for real-time analysis of battery electrolyte streams; Design and validate data fusion strategies combining multiple sensor outputs into robust chemical information
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and challenging environment at Science Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses
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relationships describing the emission, fate and effects of pollutants as a function of size. We intend to derive overarching scaling principles that apply across multiple disciplines, including hydrology
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the cancer more effectively. In multiple studies, this therapy has demonstrated impressive results after only 4 to 6 weeks of treatment, leading to improved patient survival without recurrence of the cancer
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-glia-int… Requirements Specific Requirements The position is part of the NWO-XL SUPERGLUE consortium , a team-science project investigating astrocyte biology at multiple scales, from molecules to whole