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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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migration, nanoscale assembly, or complex charge-screening processes are still poorly understood despite their critical impact on electronic properties and device performance. The project will provide a
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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, computer scientists and biologists all working to develop imaging techniques within a supportive and diverse environment. Key Responsibilities This role will involve the operation of a new ultrafast laser
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
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About This Job Required Qualifications: Candidates must possess a PhD in biomedical engineering, imaging sciences, MRI physics, mechanical engineering, or a related field. Applicants holding an MD with a
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In order to be considered for the position, applicants must have research qualifications at least corresponding to what can be achieved as part of a successfully completed PhD within a relevant field
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biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
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: Minimum education: PhD in a relevant scientific field (e.g., computer science, image processing, or computational neuroscience). Minimum experience: 0 years Preferred Qualifications: Preferred education