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. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as
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degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or
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interdisciplinary team spanning materials chemistry, surface science, and applied physics. The position is embedded in the Vienna Doctoral School in Chemistry (DoSChem), Austria’s largest graduate network in chemical
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: Waning trust in science is often framed as a crisis of expertise. Yet many communities beyond institutionalized medicine produce sophisticated forms of knowledge through their engagement with biomedical
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and classical physics as well as between quantum and bio-molecular science. We develop universal matter-wave interferometry in the limit of high mass and high complexity, from organic molecules to metal
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and classical physics as well as between quantum and bio-molecular science. We develop universal matter-wave interferometry in the limit of high mass and high complexity, from organic molecules to metal
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and Space Sciences (VISESS / doctoral school) This is part of your personality: M.Sc. degree or equivalent in climate science, meteorology, physics, computational sciences or a related field Creativity