263 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Fellowship positions in Australia
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational
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funded Discovery project in collaboration with the University of Melbourne and Olivia Newton John Cancer Research Centre, providing a great opportunity to translate your computational results to practical
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to novel and important scientific outcomes and publications in scientific journals. Utilising design thinking methodology to plan and prepare research proposals, and apply non-academic impact
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to demonstrate: A Completion of a PhD in a health-related discipline. Experience in qualitative and/or quantitative research methodology. The ability to plan and execute data collection and analysis. Experience
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver research that addresses the 'real life questions' essential
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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Sciences, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver research that addresses the 'real life
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
looking for a motivated researcher with a PhD (or near completion) in fungal genomics or a related field, proven research output, and strong computational skills (Linux, Python, R, HPC). You’ll bring