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https://idmxs.org/. We are looking for a Project Officer (PO) to support the development of machine learning-driven, array-based nanosensors for detecting and differentiating complex, multi-component
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Show all breadcrumbs Postgraduate Research in Computational Imaging and Machine Learning in the Department of Radiology and Biomedical Imaging Monday, June 1, 2026 Title of the Position
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round Details This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals. For this
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availability of funds. We seek a scholar whose research advances spatial statistics, statistical learning, machine learning, or artificial intelligence (AI) for understanding geographic processes and social
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Mapping Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in
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postdoctoral researcher will conduct cutting-edge research in areas such as cyber-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position will
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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of AMR infections. The specific aims of this project are: 1. Rapidly identify AMR and predict treatment responses through use of genomics and machine learning in a clinical context. 2. Detect
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-supervised machine learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to train models on synthetic data generated by biophysical
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, Embedded Systems, Cloud/Green/Ubiquitous/Mobile Computing and Networking, Cybersecurity and Trusted Computing, Machine Learning, Data-Centric Computing, Computer Architecture •Power Electronics