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Job Description We are seeking a highly motivated and talented Postdoctoral Researcher to join our team and contribute to our cutting-edge quantum computing project. This ambitious project focuses
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Faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time. The person employed in the position may, based on a specific individual
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faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time. Employment as a postdoc requires scientific qualifications at PhD level at
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assignments can be agreed individually. Furthermore, other types of assignments may occur to a limited degree. The Faculty determines the distribution of the various assignments. The weighting of the different
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wildfires and their impacts on both the stratosphere and climate combining different model systems. The position is to be filled by 1 May 2026 or as soon as possible thereafter. Expected start date and
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Postdoc position to support international research and capacity-building projects employing elect...
. Publication of scientific results in international journals and presentation at conferences. Supervision and mentoring of MSc and PhD students. The successful applicant will also be required to support parallel
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: Conceptualisation and theoretical development of spatiotemporal optimisation of biodiversity dynamics during recovery. Synthesising and modelling and species pools and biodiversity patterns given different
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on exploring the evolution of magnesium-based binders in different environments, with particular interest in carbonation mechanisms. You will gain hands-on experience with advanced equipment and computational
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effective cue for directing attention, particularly when colors in a scene are dissimilar. However, there is currently no measure of color dissimilarity (distance) that accurately reflects selective attention
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also