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of stroke and dementia, but we have no current treatments. PDE5 inhibition is one of the leading candidates to reduce harms due to the disease. Miro-Dose is a double-blind, randomised, placebo-controlled
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models of integrated multi-energy systems, including interactions between electricity systems, cooling technologies, geothermal resources, and thermal energy storage Analyse and model cooling demand
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and
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needed Acts as a mentor and resource to masters and PhD students and other trainees Acts as a resource to various research team members to identify real or potential problems and works to resolve
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research assistance. This is dependent upon the qualification of the applicant and the current needs of the department. No one can be appointed for more than one PhD Research Fellowship period at the
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Stochastics and Computational
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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological
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sciences, Applied Mathematics or Physics, and related. Admission Requirements: Candidates must hold a master’s degree in one of the aforementioned scientific areas and be enrolled in a PhD program or in a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research