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will have demonstrated excellence in using modern empirical methods—including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 12 hours ago
of Science and Technology (KAUST) Open Date Apr 21, 2025 Description Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and
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( https://isor.univie.ac.at ) der Universität Wien sucht ab 01.03.2027 ein*e Universitätsassistent*in prae doc mit dem Ziel einer Promotion im Bereich Mathematische Statistik und Machine Learning
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considered at junior or more senior levels assuming relevant experience in foundational machine learning research and/or applied machine learning in an academic and/or industrial setting (post-doctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
position) a PhD in Computer Science or EE/ ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area. Required Qualifications, Competencies, and
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with an MRI scanner Experience in developing state-of-the-art Machine Learning algorithms Experience with one or more deep learning libraries such as PyTorch, TensorFlow, or Keras Hands-on experience
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with an MRI scanner Experience in developing state-of-the-art Machine Learning algorithms Experience with one or more deep learning libraries such as PyTorch, TensorFlow, or Keras Hands-on experience
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demonstrated experience in metagenomics, k-mer-based methods, ancient or degraded data analysis, and machine learning. Candidates must hold at least a Master’s-level degree (or equivalent) in bioinformatics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Scholar Position Title BDC Post-Doc Research Associate Vacancy ID PDS004619 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
assuming relevant experience in foundational machine learning research and/or applied machine learning in an academic and/or industrial setting (post-doctoral). Excellent machine learning and programming