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the correctness of the data and code. Organizes data and contributes to submission of code and datasets to approved archives. Documents research results and takes a leading role in preparing and submitting papers
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Position Summary The postdoctoral fellow will develop artificial intelligence applications to support characterization of medical data with a focus on radiology image, radiology reports, and
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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. Another primary focus is the cross-modal integration of Alzheimer’s disease genomics with brain-imaging derived phenotypes to elucidate how genetics contributes to disease heterogeneity. Overall
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experience, biochemistry, and advanced functional assays/imaging. Expands proficiency in career skills, including writing, public speaking, networking, and critical evaluation of scientific literature
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on sustainable waste treatments and bio-productions. Key responsibilities include conducting fermentation, bioreactor operations, and cell growth analysis using imaging, OD analysis, and HPLC metabolite
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studies linking preclinical discoveries to clinical trials in radiation oncology. Innovative imaging and biomarker development to track response to ultra-high dose rate therapy. The postdoctoral scholar
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collaboration with a team; demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code; and a long-term interest in an academic position contributing
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the active target and the calorimeter, employing cutting edge detector technologies (LGADs & LYSO) and fast electronics. Our team also carries a host of simulations to prototype the experiment and develop
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samples for downstream molecular applications such as RNA/protein extraction, histological staining, and spatial imaging. Maintain and manage mouse colonies, including genotyping and timed pregnancies