6 parallel-computing-numerical-methods positions at TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
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programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing domains. We seek a highly motivated
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neuroscientific techniques such as electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and eye-tracking, in combination with multivariate analysis methods and computational modeling
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of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics-based concepts
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. Requirements: very good university degree in mathematics, preferably with a focus on probability theory or analysis; curiosity and strong interest in rigorous, methodical fundamental research; programming skills
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. The center offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure. For TUD diversity is an essential feature and a
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(master of Science or Diploma) in Informatics, Geoinformatics or a related field is required programming experience with Web Technologies (HTML5, CSS, JavaScript) and/or Python are expected familiarity with