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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 12 hours ago
Max Planck Institute for Mathematics in the Sciences Position ID: 1667 -CLUSTER [#26728] Position Title: Position Type: Postdoctoral Position Location: Leipzig, Saxony 04103, Germany [map
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the theoretical foundations of data science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and
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continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological quantum computing
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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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The Materials Science Division (MSD) of Argonne National Laboratory is seeking applicants for a postdoctoral appointee in interface science, vapor deposition, and cluster synthesis. The research
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clusters; engaging with the group’s programme of experiments in Oxford and Munich; writing-up results for publication; presenting results at international conferences; managing the research group’s use
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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. The Preston lab is highly interdisciplinary and collaborative and co-located with a dynamic cluster of research groups studying plant biology, microbiology and plant-microbe interactions. You will hold, or be
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
of (a) (young) stellar clusters, (b) molecular gas and dust, or (c) star-forming sites (e.g. HII regions) in gas-rich galaxy centers. The work will encompass all aspects from data reduction to their in
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric