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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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: Strong understanding of statistics, probability, optimization, and linear algebra. - Machine Learning: Deep learning, probabilistic modeling, generative models, etc. - Programming & Software Development
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Postdoctoral Research Fellow in Machine Learning for Local Energy Communities Salford Business School boasts a vibrant international community. We are pioneers in redefining education and its role
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of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine is looking for a candidate to fill an Assistant Professor position in machine learning based medical image processing
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at the School of Physical & Mathematical Sciences, Nanyang Technological University (NTU). The candidate is expected to work on the cryptography and/or machine learning. Key Responsibilities: The candidate will
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the form of a human-expert informed reward function. Second, we aim for the integration of low-energy machine learning algorithms, so that the resulting AI model can run on a variety of devices, including
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Help shape the future of cancer care through better data. This PhD scholarship offers the opportunity to work with a leading research team using clinical trials and real-world data to build machine
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student research. As an active researcher, you'll lead and contribute to projects in AI and machine learning, especially their applications in engineering, collaborate with industry, secure research funding
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100%, Zurich, fixed-term We are seeking a highly motivated and skilled Postdoctoral Fellow in Machine Learning for Infectious Disease Diagnostics to join our dynamic and interdisciplinary research
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects