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activities. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong software background in software engineering and cloud computing systems. Strong
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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These efforts aim to enable future ultra-low-latency applications (e.g., cloud gaming, latency-critical workloads) and contribute to next-generation Internet design. Qualifications PhD in Computer
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a
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, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from
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junior research team members (including undergraduate research trainees). Qualifications ● PhD in computer science, bioinformatics, data science or similar, with a focus on machine learning
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management, mentor junior researchers/students, and ensure rigorous R&D practices. o Establish collaborations with internal and external stakeholders (industry partners, agencies, other labs). What We Offer
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
. This position will focus on using POSSUM Rotation Measures to probe the magnetoionic medium in the Magellanic Clouds, the circumgalactic medium of galaxies and/or nearby galaxy groups. This will also include some
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of three Centre of Excellences: PHAB – Centre for Planetary Habitability, and have a Norwegian Research School for PhD students (Research School for Dynamics and Evolution of Earth and Planets, DEEP