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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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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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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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the impact of past attempts to introduce PD as a treatment modality. The technology being developed in our lab is a biopharmaceutical device for rapid, on-demand compounding of the necessary dialysate, near
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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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. However, limited availability of peritoneal dialysate has limited the impact of past attempts to introduce PD as a treatment modality. The technology being developed in our lab is a biopharmaceutical device
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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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: Expert on steels and steel welding or additive manufacturing Develop advanced machine learning framework to combine different modality and fields of data Conduct CALPHAD-based simulations in a high
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modeling (ROMS), scientific data validation (TPXO, SWOT, moorings), and advanced data analysis techniques (coarse-graining, modal decomposition). Knowledge of scientific writing and publication processes