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Field
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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data
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bioinformatics research coupled with wet-lab investigations, working in the areas of network biology, data-driven hierarchical modeling, and machine learning applied to biomedicine. We also support multiple open
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, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e. clinical data, imaging data, genomic and omics data, device and
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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University on the NAMUR project is focused on creating intuitive systems for controlling multiple robots with natural language. The successful candidate will develop and test novel user interfaces
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university. Strong communication skills in the English language Passionate in teaching electrical/computer engineering concepts and skills to the students. Proficient in multiple programming languages
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recognition neural networks (e.g., Tsetlin Machines, Graph Neural Networks, RNNs for time-series causal discovery, XGBoost). AI-driven heuristic search (e.g., genetic algorithms, genetic programming, simulated
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Dr. Wen
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Dr. Wen
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Qualifications: ● Multidisciplinary background (i.e. neuroscience, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e