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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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, 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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Models to push the frontier where computer vision, physics simulation, and embodied AI converge. Join Us! This position is part of a collaborative research programme between the University of Amsterdam
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funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and
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, data driven, computational, and intelligent systems, all with a strong interactive component. The Digital Interactions Lab (DILAB) is a small but vibrant human-computer interaction research group within
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., PhD thesis chapter or published article/book chapter); name and contact information of two persons who are familiar with you as a researcher and can provide references. The estimated starting date
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strong record of computer programming, with experience in pytorch and/or tensorflow demonstrated ability to work both independently and as a team member The role requires a flexible working approach, as
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to demonstrate at conceptual level some of the features proposed where needed; provide a cost estimate of the various options meeting each requirement. You will also have the opportunity to study the GS&O
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real-time, predictive control frameworks for ankle exoskeletons that regulate calf muscle-tendon forces during human locomotion. A central goal is the short-term (millisecond-scale) estimation and