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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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” (funded by the German Research Foundation, DFG) PhD Researcher in Semantics and Pragmatics (m/f/d, E13 TV-L, 75%) (The salary corresponding to a 75%, TV-L 13 scale, position is approximately €3.400 per
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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) we are currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d – 75 %) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded...
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The Faculty Social Sciences & Solvay Business School, Department Sociologie, Research Group Brussels Institute for Social and Population Studies is looking for a PhD-student with a doctoral grant
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Trade Economics. The thesis work will be undertaken at the University of Luxembourg. The suggested theme of the PhD is Quantitative Urban and/or Trade Economics. The candidate is, however, welcome to
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Palaeoenvironment (SHEP) at the University of Tübingen is seeking a motivated PhD candidate for the Paleontology working group: PhD Candidate / Research Assistant (f/m/d)Turtle Neuroanatomy & Evolutionary Morphology
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Number A1218 Working Title PhD - Research Assistant, Vackar College of Business and Entrepreneurship, New Admits to PhD Program Fall 2025 Location Edinburg, Texas College Robert C. Vackar College
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” (funded by the German Research Foundation, DFG). PhD Researcher in Linguistics (m/f/d, E13 TV-L, 75%) The position begins on 01 October 2025 and ends on 30 June 2029. The position is associated with project
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation