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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
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trade-offs between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also
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as maintaining computing infrastructure and supporting field-based research equipment. The position will be part of a team of technical-administrative staff that jointly cover the following areas
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Tenure-Track Assistant Professor / Associate Professor in AI-Driven SW Specification, Development...
categories Discipline Computing Job Type Faculty Member Employment - Hours Full time Duration Permanent Qualification PhD Sector Academia Apply on website (This will open in a new window from which
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in cloud computing and utilizing data from the All of Us Research Program are particularly well-suited for this position. Outstanding U of A benefits include health, dental, vision, and life
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: PhD Position – Scalable AI and Advanced Computing for Earth Observation The Jülich Supercomputing Centre (JSC
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processing, analysis, and sharing. The successful candidate will have a strong foundation in software engineering, data engineering, and cloud computing, with a proactive attitude and eagerness to
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with hands-on operational work and close dialogue with both internal experts and external partners. You will contribute to the development of MIMER’s cloud-native supercomputing environment and
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students, and collaborate with diverse research groups What we offer You will become a part of the Cloud and Network Computing group, headed by assistant professor Gopika Premsankar. Our group is
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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science