78 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions
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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
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implementation of faculty development initiatives that support more than 300 instructors teaching UNIV courses, including University 101, 201, and 401. This position works closely with instructors who teach first
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Position Details Position Information Department Univ Human Resources Central (XHR) Position Title Consultant-Benefits Job Title Benefits Specialist Appointment Type Professional Faculty Job
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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position of a University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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portal/ Apply now - button If you have any questions, please contact: Univ.-Prof. Dragoș Ciobanu, PhD Professor of Computational Terminology and Machine Translation dragos.ioan.ciobanu@univie.ac.at We
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for Horticulture and Phenotyping) team research topics focus on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology
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processing, neuromorphic engineering, or a closely related field. A solid background in machine learning is expected, with interest or experience in spiking neural networks, temporal modeling, or bio-inspired