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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Nov-25 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Computer/Information Sciences Internal
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acoustic scene analysis are addressed, using a combination of model-based statistical signal processing techniques and data-driven machine learning methods. The Signal Processing Division has access
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/0486.1-BOrder-a/@@images/file We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://bnl.wd1.myworkdayjobs.com/en-US/Externa/job/PostDoc---Machine
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal
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comparable qualification) in a relevant discipline (computer science, mathematics, AI) Expertise in one or multiple of the following areas: Deep Learning, Computer Vision, Signal Processing (Synthetic Aperture
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tasks and zero-shot evaluation in linguistic analysis. Profile • Master’s degree (M2) or PhD in computer science, NLP, machine learning, deep learning, or a related field. • Strong experience in machine
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: Adobe Acrobat, Analytical Thinking, Computerized Accounting, Computer Literacy, Deadline Management, Grant Administration, IBM Cognos Analytics, Interpersonal Communication, Learning New Technologies
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., machine learning for quantum error prevention/mitigation/correction) Quantum machine learning Quantum cloud technologies We are actively involved in practical applications through partnerships with
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a position as Research Associate / PostDoc (m/f