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development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning and Intelligent Systems (ALIS) Group in the NLR Computational
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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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the nourishment and well-being of all people; sustain our nation’s agroecosystems and natural resources; and ensure the economic competitiveness and excellence of our agriculture. The vision
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Masters and PhDs at any overseas university in any field. Please note: Short courses, research appointments, medical research (outside of a Masters or PhD program), post-doctoral research, visiting
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an Honours or graduate program through the Faculty of Medicine, Dentistry and Health Sciences and undertaking research in a field relevant to traffic safety. The area of traffic safety may include, but is not
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, academic field of study or choice of university, with successful applicants having demonstrated excellence in their field, leadership potential and a vision for how they can contribute to a better Australia
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enrolled as a full-time student in a bachelor’s degree program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max Planck Institute for Informatics (MPI-INF), the Max Planck Institute
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in the preparation and review of the HAA multi-year program plan. Support national and international community engagement to take full advantage of Canada’s investments in international (SKA, ALMA) and