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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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Responsibilities: The successful candidate will be expected to teach undergraduate and graduate courses at all levels of the computer engineering curriculum, develop new courses that align with their area of
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seeks to appoint an Associate Research Scientist. Motivated applicants with a strong background in Machine Learning, Robotics, Haptics, and interest in leading cross-disciplinary research to study
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the mission of the University through evidence of a clear understanding and commitment to teach through the integration of Christian faith and learning. Teaching Responsibilities The successful candidate will
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, AI and machine learning, robotics, engineering, computer vision, and signal processing. Details of this year’s workshop are at https://sites.google.com/view/telluride-2026/home IMPORTANT DATES
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/2010 Where to apply Website https://www.uniud.it/it/ateneo-uniud/concorsi-bandi-uniud/concorsi/contratti_ri… Requirements Additional Information Eligibility criteria Eligible destination country/ies
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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-resolution (SR) technologies influence human and machine-based facial identification. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: 1. Do SR
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plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Develop new machine learning
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. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing and networking. · Quantum sensing