553 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" uni jobs at Monash University
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. The Faculty of Medicine, Nursing and Health Sciences is seeking a motivated Research Officer to support the operations of a leading epigenetics laboratory within the Blood Cancer Program at the Australian
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service and high‑quality outcomes Well‑developed written and verbal communication skills The ability to work independently while contributing positively to a team Strong computer literacy, including
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr
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status (SES) area To be eligible for this scholarship, candidates must have been accepted to participate in the Access Monash program. Benefits $8,000 per annum (48 credit points of study) up to a maximum
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classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov
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recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your
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, please refer to 'How to apply for Monash Jobs '. Please address the following questions in your cover letter: How has your research program contributed to your discipline at a national or international
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contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience. [2] https://www.emotiv.com
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch