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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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networks (SNNs) offer a bio-inspired and event-driven computational paradigm that naturally aligns with asynchronous sensing. By exploiting sparse spike-based communication and intrinsic temporal dynamics
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work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing and
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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, to support program needs and patient coordination activities. Specific scheduling will be coordinated with the supervising physician and Division leadership. Opportunities for a hybrid telework schedule for up
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, to support program needs and patient coordination activities. Specific scheduling will be coordinated with the supervising physician and Division leadership. Opportunities for a hybrid telework schedule for up
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and experience. Completion of the two-year radiologic technology program, approved by the American Registry of Radiologic Technologists (ARRT) and holds a state of Texas state Medical Radiologic
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will support development goals by publishing and maintaining data resources systems for wildlife agencies. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural