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., post-training, reasoning, agents, and benchmarks), designing and running experiments, publishing at top AI venues, and collaborating with students in the group. Help manage the group's research social
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. • Excellent written and spoken English communication skills. • Ability to work both independently and collaboratively within a multidisciplinary research team. What We Offer The successful candidate will
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analysis of national linked health and social and surveillance datasets in collaboration with investigators and stakeholders. Join a world-leading research environment where your statistical expertise will
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work closely with collaborators investigating sensory-driven behaviours and TRP channel function in experimentally tractable non-bilaterian organisms. The role will involve collaboration with the partner
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; support interdisciplinary collaborations across materials science, electrochemistry, and mechanics; mentor graduate and undergraduate students in the lab. The role will contribute to cutting-edge research
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-site datasets collected across international collaborators. The role will involve working closely with MRI physicists, clinicians, computer scientists, engineers and mathematicians to ensure high-quality
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 12 days ago
, characterisation and stability. The role will involve close collaboration with leading Australian research institutions and industry partners, including Halocell Energy, Tindo Solar and Greatcell Solar Materials
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closely with the Principal Investigator and research team and will have opportunities to collaborate with leading academic or industrial partners. Key Responsibilities • Develop and conduct
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groundbreaking research in AGI with a focus on AGI (Efficient and Evolving) and Robotics (Embodied AI). Collaborate with an interdisciplinary team to produce influential publications in premier conferences and
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considering epigenetics and other biomarkers of aging and evaluating these relationships across diverse populations. The Fellow will collaborate with faculty mentors (Dr. Laura Kubzansky – Harvard T.H. Chan