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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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Algebra, Programming, Data Structures and Algorithms) and AI-related courses (Deep Learning, Feature Engineering). Candidates with experience in university teaching or R&D in related industries is an
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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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for strengthening activities in relation to their specific expertise (e.g., computational imaging, deep learning, numerical optimization) Where to apply Website https://concorsi.unige.it/home Requirements Additional
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development to prepare fellows for a successful career in the pharmaceutical industry. Learning Objectives: Develop deep expertise in the principles and practices of scientific and medical communications
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management Cognitive radio or adaptive communication systems, including dynamic spectrum access, band selection Heterogeneous network architectures, including terrestrial and non-terrestrial networks Deep
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 13 days ago
Designer to lead large-scale instructional design and digital learning initiatives that directly impact student success. This senior role drives the design, development, and implementation of major online
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doctoral student in the field of chemistry to work on development of deep learning models for estimating protein-ligand binding energies. The specific project is a part of a large-scale collaboration