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Position Details Position Details Job Title RESEARCH ASST I Position Number 8350060 Work Modality Job Category University Staff Job Type Part-Time FLSA Status Non-Exempt Campus Maywood-Health
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cell analyses. Direct experience with advanced approaches for single cell transcriptomic, epigenomic or multi-omic data analysis is required. Specific expertise in harmonizing single and multi-modal
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assessments such as the General Movement Assessment (GMA) and the Hammersmith Infant Neurological Examination (HINE). However, current predictive models lack integration of these modalities and precision in
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high-throughput molecular techniques. Strong skills in bioinformatics, histological analysis, and integration of complex, multi-modal datasets. Appointment at Research Associate level is dependent
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of marketing, public speaking, and outreach. Basic research methods and data analysis techniques. English usage, grammar, spelling, punctuation, and vocabulary. Ability to: Perform technical and operational
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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-degenerative diseases. Our data comes from large public cohorts as well as local proprietary databases of clinical and preclinical medical images, including Positron Emission Tomography, temporal multi-modal MRI
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models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi-modality data analysis (e.g., image
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Describe the main responsibilities
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reports to ensure proper capture of services and current pricing. Collects data to aid in decision making with regard to billing clinical practice. Prepares monthly/quarterly service analysis by service