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of the interventions, as they are team efforts carried out by a large team of scholars and curators. You will be primarily responsible for incorporating a critical heritage and museology perspective. You will assist in
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of substitution models using large dataset, successful applicants must then have a PhD and demonstrated experience in discrete choice models, machine learning techniques, big data, and optimization
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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling
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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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outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance. The ideal
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experience in life cycle assessment (LCA) and related tools for managing large data sets to evaluate natural resources needed to advance emerging technologies. The candidate will lead their primary project and
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, therefore, has a large international community and a lot to offer to international employees. Because we expect you to work and live in the Netherlands our team of advisors on Dutch immigration procedures
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required. Qualifications Required Education and Experience: Appropriate PhD in neuroscience, neurophysiology, or a related field. Preferred Qualifications: Expertise in software /data analysis such as
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to the ongoing research in Prof. Marcotti’s laboratory by designing, developing and performing experiments, data analysis and disseminating the findings by writing articles and by presenting findings
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed