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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 25 days ago
modeling (ROM) Some experience with various programming tools (Python, MATLAB, C++, C) Some familiarity with machine learning: predictive modeling, anomaly detection, supervised learning, deep learning
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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AI, Biomedical Informatics, Computational Biology, or a related field Strong programming skills in Python and modern ML frameworks Experience with deep learning and large language models Strong
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towards deep, large-scale analyses of STM evolution and action. The focus will lie on a range of arthropods, molluscs, and chordates, with the aim to uncover universal STM design principles as
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, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow) Experience developing and deploying machine learning or deep learning models Ability to present complex results to multidisciplinary teams, including
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of Minnesota is seeking a Post-Doctoral Associate to study the brain mechanisms involved in disordered sleep in Parkinson's disease (PD) and develop sleep-specific deep brain stimulation (DBS) therapies. Under
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development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted, Center for Clinical Data Science, Aalborg University, Professor
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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developing new visualisation strategies to aid delineation, as well as developing deep learning methods to enhance photon-counting CT images and better visualise tissue boundaries. The project will also