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workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
opportunities to: Work in the intersection of Artificial Intelligence and Robotics Work closely with industry and researchers from the ANU and University of Sydney ACFR in a collaborative manner. Work
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Machine Learning and Artificial Intelligence. Strong programming skills (Python) Good knowledge of AI frameworks like TensorFlow, PyTorch, Keras Good to have: Scientific publications Familiarization with ML
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
of Cybernetics, and School of Engineering. The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and
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aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other faculties, knowledge
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and development of social media for public dissemination and outreach Desirable • Experience applying artificial intelligence to bioinformatics problems (e.g. DNA motif discovery/genome annotation
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About Us We are the School of Architecture, Design and the Built Environment (ADBE) at Nottingham Trent University. We make, create, design and build. We’re planners and problem solvers. We draw
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Foundation. About the project/work tasks: The project is related to digital medicine and artificial intelligence, particularly the goal of developing a digital twin for the body's hormonal system
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experience with applications of machine learning (especially Explainable Artificial Intelligence - XAI) is required. All candidates should provide a detailed CV, research statement and contact information
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Compounds to Elucidate the Structure of Polycystic Ovarian Syndrome (SUCCESS)”, financed by Novo Nordisk Foundation. About the project/work tasks: The project is related to digital medicine and artificial