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regulation, RNA processing, and cellular heterogeneity shape cancer cell states in myeloid malignancies (e.g., acute myeloid leukemia and myelodysplastic neoplasms). The position is an opportunity for a bright
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on application expertise and interest; Generation and analysis of mass spectrometry based exposomics data; Analysis of multiomics data; Analysis of MRI-derived imaging data; Writing narrative summaries
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, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply computer vision
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on the design and development of mechanically intelligent surgical tools that simplify surgical motions and incorporate image sensing. These tools will be integrated with robotic platforms and machine learning
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New York University Grossman School of Medicine (Torres-Vázquez lab) | New York City, New York | United States | 2 months ago
. The position is available immediately. Applicants should have: A PhD in developmental biology, cardiovascular biology, genetics, cell biology, or a related field. A strong publication record or clear evidence of
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spectrometry on pure proteins, fluorescence reporter assays on cell lysates or purified proteins, and whole cell assays based on dye reporters or other types of imaging. Biological mechanisms are studied through
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/KIC Postdoctoral Fellowship in Theoretical Condensed-Matter Physics. This prize fellowship is designed to attract the best and brightest theoretical physicists within three years of PhD attainment
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atomization, droplet formation, and transport processes; applying quantitative image analysis and scientific programming techniques; comparing experimental observations with computational models; and
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. This prize fellowship is designed to attract the best and brightest theoretical physicists (no further than three years' past PhD completion) to work with theorists and experimentalists in the Department
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PhD in Biochemistry, Molecular and Cellular Biology, or related area. Strong interest in basic and translational research. Strong work ethic, meticulous and detail-oriented record keeping habits