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Field
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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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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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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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, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis, geometric modelling, acoustic signal propagation, Monte Carlo
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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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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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-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
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The University of Chicago Academic Jobs Research Assistant Professor in Analysis of Biomedical Data #FMD015 Department of Family Medicine, Biological Sciences Division Position Type: Other Academic
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profiled and their associated target phenotypes in selected crops subjected to drought and salt stresses. This will be a key step in determining editing modalities. Therefore, the ideal candidate will be
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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