635 computational-physics-"https:"-"https:"-"https:"-"https:"-"University-of-Cambridge" positions at Monash University
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Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to manage threatened species and ecosystems, and to control invasive species and diseases. This requires a...
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, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and co-supervision with computational and neuroscience partners under GEMS 2026 will be provided. Project
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to deliver high-quality technical services in support of our Geomechanics program. In this role, you will: Oversee and conduct a range of standard and specialist geotechnical tests. Train and supervise
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these decisions? Required knowledge This project is open to candidates from diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior
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linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process
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people 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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to the preferred program of study. How to apply Further information can be found at The ARC Centre of Excellence for the Weather of the 21st Century . Apply by submitting a separate application form. This
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will be automatically assessed by the Faculty. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and
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This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...