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Field
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experience with machine learning or deep learning; experience with PyTorch is desirable. Experience with large structured, unstructured, imaging, or multimodal datasets and, where relevant, GPU-accelerated
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applications. Experience with quantitative image analysis, medical image segmentation, or machine-learning / GPU-based computing. Experience mentoring or directing the work of junior staff, students, or trainees
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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the
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conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
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deadlines. Experience Essential: E1. Research experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2. Experience in machine learning
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. Essential: A PhD (or equivalent experience and professional qualification) in Artificial Intelligence, Computer Science, Machine Learning, Biomedical Engineering, Computational Neuroscience or a closely
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computing, and AI/machine learning. Student Assistant will also assist with HPC instruction. Required Minimum Qualifications: Current University of Alabama undergraduate student. Additional Required
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Physicist who combines a strong research programme in physics with expertise in machine learning, AI, statistics, or scientific computing. Your research will develop new approaches to analysis, inference and
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, and openly release evaluation code. What is Required: A recent Ph.D. (within the last 1-2 years) in Computational Biology, Bioinformatics, Machine Learning, Computer Science, Statistics, or a related
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Science, Digital Humanities, or a related field. Four years of relevant experience. Required Qualifications: â— Machine Learning Frameworks: Demonstrated proficiency in implementing and fine-tuning