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involves deep collaboration with research computing, security, network, infrastructure, and operations teams while continuously evaluating cloud, on‑premises, and hybrid environments. The architect plays a
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing
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to diverse academic and industrial audiences. Proficiency in Python and deep learning frameworks such as PyTorch. Experience with Linux environments and GPU cluster management is essential. Competent in
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
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conducting fieldwork and keeping track of grant funding allocated to students or other RPDE staff. Assisting with financial management and planning, such as doing a deep-dive into the expenses or assessing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social
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governance for climate action. 4. Guide and monitor the evolution and implementation of national platforms, extract lessons learned, and develop products to share with other cities and contexts. 5. Expand
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structures and corresponding images) needed for training and validating deep learning (DL) models. Work closely with members of the ICMN nanostructures group or external collaborators. Communicate research
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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object