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needed to support deficiencies in specified discipline. Assist students with study skills and methods of study. Assist students with technical needs. Support and coordinate class activities with faculty
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changes and established markers for Alzheimer's disease. The project may also include machine learning methods to estimate individuals' biological age. The project is based on existing data from a prominent
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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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Computer/Information Sciences Internal Number: A-168130-3 General Description Professor Gillian Hadfield is seeking a highly-qualified postdoctoral scholar to join her team at the Normativity Lab in
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. Qualifications • PhD Degree in a relevant discipline, e.g. electrical / electronic engineering, computer engineering, computer science, etc. • Full experience in computer graphics and robotics area
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to cutting-edge research at the intersection of artificial intelligence and life sciences. Responsibilities: Develop and implement new methods for the analysis of biomedical images, with a focus on brain
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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addition to wages, use our compensation calculator . Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in ! Desired Start Date Position End Date
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
for robotics. This project is a collaboration with the Australian Defence Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under