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of visualisation, machine learning, and human-computer interaction under the joint supervision of both institutions. The position is shared by TU Wien and USTP and offers the opportunity to conduct research at both
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experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is
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Infrastructure? No Offer Description Work group: IAS-8 - Datenanalyik und Maschinenlernen Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student in machine learning to work within
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Department: Academic Affairs, Learning Resource Center (LRC) Classification: GMU Worker Job Category: Part-Time / Hourly Wage Job Type: Part-Time Work Schedule: 10-20 hours/week Location: Fairfax
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reflection of, and a catalyst for, advancement in our fields. With an emphasis on applied learning and experiential education, SUNY Cobleskill prepares students for successful careers, advanced studies, and
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: https://www.purdue.edu/hr/careerpathmaker/ Who We Are: Purdue is a community built on collaboration, with global perspectives, Boilermaker pride and endless opportunity to live, learn and grow. Join us
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security, cryptography, privacy-preserving and trustworthy computing, AI-driven security and adversarial machine learning, security of cyber-physical and autonomous systems, and/or cloud or edge system
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for regulated data environments. Stay current with emerging data engineering and cloud technologies to enhance platform capabilities. Extend ELT architectures to support machine learning workloads. Build feature
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or university. Strong communication and listening skills. Computer skills including experience using customer relationship management systems and the ability to learn new systems quickly. Preferred Qualifications
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and culturally relevant teaching strategies in a diverse classroom Duties: • Teach undergraduate and graduate courses in Computer Engineering and conduct laboratory experiments. Instruction in