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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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available in the further tabs (e.g. “Application requirements”). Objective To intensify German-Chinese research cooperation and improve funding opportunities for young Chinese scientists and academics
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response, new sensing-electrode chemistries, and an expanded scope of gases. The objective of the proposed PhD project is to investigate new materials, manufacturing routes and devices as well as gaining
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such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D observations. Generating