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of an interdisciplinary team of researchers: Dr. Clélia de Mulatier at the Institute for Theoretical Physics, Prof. Jo Ellis-Monaghan at the Korteweg-de Vries Institute for Mathematics, and Dr. Patrick Forré
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PRONTO (PROperty prediction by Network TOpology modelling of polymer films) is a 3-PhD project concerning ‘drying’ of paints or coating solutions, a solidification process where multifunctional
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1 September 2024. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in
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dynamics that drive climate finance decision making within countries and traces the processes that lead certain sectors and districts to be prioritized. Two PhD students with complementary skills and
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PhD Cognitive Neuroscience: "The Influence of Predictions on the Mechanisms of Conscious Perception"
for a total duration of 4 years). The preferred starting date is between 1 Augustus 2024 and 1 September 2024. This should lead to a dissertation (PhD thesis). We will draft an educational plan
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We are looking for enthusiastic candidates for a PhD position at the intersection of theoretical astroparticle physics, cosmology and deep learning at the University of Amsterdam. You will be part
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Are you enthusiastic about exploring the fascinating interplay between physics and mechanics? Are you interested in real world applications of metamaterials? We are delighted to open a PhD position
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degree in Mathematics or theoretical physics; a familiarity with any/all of the fields of stochastic processes, topology, functional analysis; a demonstrable affinity with theoretical physics; fluent in
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Physics 16.2 (2020): 205-210. O’Brien, Thomas E., Brian Tarasinski, and Barbara M. Terhal. "Quantum phase estimation of multiple eigenvalues for small-scale (noisy) experiments." New Journal of Physics 21.2
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Neuroscience or a closely related field; a MSc in mathematics, physics, engineering or related topics is also possible if the candidate can demonstrate sufficient background in neuroscience; • strong