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Field
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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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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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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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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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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
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programs. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Conduct integration, analysis, and interpretation of large
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-cancer data network analysis. The Kuijjer group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational