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Field
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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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My Way (abilitynet.org.uk) Please note that CVs are not accepted in place of the application form. Within the application process you will be asked to answer a selection of work-related questions. Our
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics, multimodal or multimedia systems. Directly relevant areas are preferable
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the areas of numismatic cataloguing. Additional Qualifications Experience in a museum, special collection, or comparable environment. Strong computer skills including using relational databases and collection
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discipline with socio-technical dimensions such as Computer Supported Cooperative work and Human Computer Interaction, software sustainability and computational sciences. Significant relevant research
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A Research Fellow position is open in a research lab at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with
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-computer interfaces, neural implants or assistive technologies experience working with clinicians, people with disability and other end-users in research or technology development a strong publication record
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investigators, colleagues and partners working in an interdisciplinary research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office