528 algorithm-"Multiple"-"U.S"-"Prof" "NTNU Norwegian University of Science and Technology" Fellowship positions
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and teaching equip the next generation
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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learning, and data science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood
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lab has ample opportunities to develop valuable scientific skillsets and make novel discoveries in cardiovascular science. Research in the lab receives funding from multiple external grants including
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institutions; (ii) interact in a professional manner with industrial partners in a highly multidisciplinary environment; (iii) work to very tight deadlines and manage multiple projects; (iv) Report regularly
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological