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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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Classification Title: Postdoctoral Researcher Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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management ● Supervising and coordinating undergraduate research assistants ● Helping to mentor masters and doctoral students ● Designing experiments, collecting data, analyzing and writing papers
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training may be required by the department. Required University Training: • Employee Safety Overview • Anti-Harassment, Discrimination, Retaliation Training • Annual Data Security Training • Annual Title IX
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experiments, etc. Perform data collection and analysis Test, optimize, troubleshoot new and existing methods and techniques, and update protocols Prepare and maintain biological stocks Maintain proper lab and
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manipulations. Assay Development: Support the development of cellular and biochemical assays to complement in vivo findings. Data Analysis & Interpretation: Analyze complex datasets from in vivo and in vitro
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, (ii) a detailed curriculum vitae, (iii) three representative scientific publications, and (iv) the names and contact information of at least three references. References will only be sought
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a network perspective. The ideal candidate has working experience in network science/bioinformatics and ML/AI/DL. Position Type Research Additional Information Northeastern University considers
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, condensed matter physics, or a related field, with experience in first-principles calculations and/or machine learning for materials research being highly desirable. For additional information about this