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Field
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tensor network algorithm development and application. Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel
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candidate for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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evaluating their performance relative to classical machine learning and statistical methods. The research would combine algorithm development with implementation and evaluation on current quantum computers
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computational methods, working with large and heterogeneous datasets, evaluating algorithm performance and uncertainty, and translating research methods into reproducible scientific software and analyses. The
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Research experience that includes medical image processing, Artificial Intelligence (AI) algorithm development, and scientific writing. Gain clinical experience including training in radiation oncology
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, algorithm design, data analysis, interpretation of physiologic signals, manuscript preparation, and grant or fellowship applications. This position is ideal for a candidate interested in applying
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, providing guidance in algorithm development, software implementation, experimentation, and scientific communication. Assist students in research project development, preparation of technical publications