37 programming-language-"FEMTO-ST"-"FEMTO-ST" research jobs at University of Adelaide
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. These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted
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consultation. Commitment to equity, diversity, and inclusion, with the ability to contribute positively to a diverse academic community. DESIRED CHARACTERISTICS Proficiency in at least one programming language
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a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in
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, monitoring workflow and in managing resources to meet objectives, timelines and deadlines. Excellent oral and written English language skills and a demonstrated ability to communicate and interact effectively
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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management and programming languages such as R and Python. Level B Essential Criteria: A PhD in entomology or a related discipline, with at least 3 years of postdoctoral experience. A strong track record in
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within a world-class team working at the intersection of computer vision and natural language processing. The appointed candidate/s will be working directly with CAR Director and Chief Scientist of AIML
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imaging programs. The position will be based primarily at the Women’s and Children’s Hospital in North Adelaide and the Australian Institute of Machine Learning. Some interstate and international travel may