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Field
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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DEMANDS: Frequent, prolonged sitting, moderate standing, moderate walking, bending, travel to various sites/locations. Extensive reading required. Extensive computer work required. Periodic speaking
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the capabilities of marine organisms, but also good numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project/work tasks: The
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that consolidate research findings for the conductance and development of green biomass conversion in Singapore. Maintenance of lab and computer clusters that include procurement and liaison with suppliers Assist
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completed by 31.12.2025. It is a condition of employment that the PhD has been awarded. Documented experience and confidence in quantitative analysis and computer programming, preferably using R, MATLAB
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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 27 days ago
evaluated on physical robots. The ideal candidate would have: A PhD (or close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by
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application please include detail on how you match the person specification. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Developing novel computer-based
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/ developing research profile and/ or respected national/ international profile in mixed methods around human-computer interaction PhD or equivalent in relevant subject area or the equivalent in professional
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include