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integrity, knowledge and technology transfer, grant applications, project management, communication skills and career development. ICIQ provides a personalized annual training program for PhD students called
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the organization to transform silo-oriented legacy systems towards a more agile and innovation-friendly IT architecture. Computing capabilities such as artificial intelligence are also highly relevant. Even though
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at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University Shape the future of intelligent control systems We are seeking a talented and motivated Research Fellow to
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Skills/Qualifications Your profile Required qualifications: PhD degree in Bioinformatics, Artificial Intelligence, Biochemistry, Biophysics, Pharmaceutical Sciences, or a related field Strong background in
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Arrangements Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University Shape the future of intelligent control systems We are seeking a talented and
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gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian
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Arrangements Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University Shape the future of intelligent control systems We are seeking a talented and
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Requirements: PhD qualification degree in Aerospace Engineering, Transport, Mechanical Engineering, Computer Science, or other related fields. At least three (3) years of relevant research experience in air
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, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting