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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program is designed for candidates who have completed their PhD within the last two years and have experience as
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of various psychopathologies and the target engagement by various intervention modalities. Clinical study design, neuroimaging study design, data collection, data analysis, and interpretation of data
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and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities
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deep learning approaches on a wide variety of clinical data modalities, such as structured data, imaging and testing data, and free-text clinical notes. The researcher will have the opportunity to work
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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The role is to synthesise and assess novel radiopharmaceuticals and multi-modal probes and provide expertise as a lead chemist in a multi-disciplinary team of chemists, radiochemists, (radio)biologists
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TensorFlow or PyTorch is a strong advantage Experience with VAEs or related frameworks and statistical analysis of high-throughput omics data is an advantage Knowledge of multi-modal data integration, gene
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validate new technologies for the diagnosis, prevention, and management of sport injuries, with emphasis on safety rather than performance. You will be responsible for the design, execution and analysis
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for psychiatric patients and healthy population, to investigate the neurobiological mechanism of various psychopathologies and the target engagement by various intervention modalities. Clinical study design
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in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine