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how to engineer their spectral response for multiparameter sensing, guided by fundamental bounds on estimation precision, and implement advanced computational design methods to realize optimal
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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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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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; solid familiarity with queer theory and queer of colour critique; previous knowledge of the topic and experience of archival research and cultural analysis; an excellent command of English (additional
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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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or computer vision); A strong scientific track record, documented by publications at first-tier conferences and journals (e.g., NeurIPS, ACL, ICLR, EMNLP, NAACL or COLM); Have excellent programming skills; Have
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). SLT and the estimation of such quantities has recently led to many applications, ranging from model selection and uncertainty quantification, over detecting phase transitions in machine learning models