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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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courses in areas such as scientific computing, web-based system design, software engineering, machine learning, data mining, and intelligent systems, among others. In compliance with NYC's Pay Transparency
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computational models and methods for collecting, processing, analyzing and visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in agent-based
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advanced computational models and methods for collecting, processing, analyzing and visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in agent
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Requirements: We are seeking a highly motivated researcher with: PhD in Communication, Media Studies, Computational Social Science, Information Science, Computer Science, Data Science, or a related discipline
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or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level
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. This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, metabolism, and
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous
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Posting Details Title Information Faculty Title Assistant Professor Job Class Code 10031 FLSA Exempt Position Information Posting Number FRGV1903 Working Title Assistant Professor
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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining