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in high content microscopy and image analysis programs. Familiarity preparing material for single-cell sequencing, comfort working with large data sets. Working knowledge of statistics, proficiency
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website for further information. The Singhvi Lab provides a supportive environment that strongly emphasizes individualized mentoring. Upon joining, we will prioritize your continued development as an
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal
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, workshops and meetings. Communicate to the research projects team the development, progress and results of research activities. Develop collaborative links with the core scientific staff in related program
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UHealth Medical campus in Miami, Fl. CORE JOB SUMMARY The Postdoctoral Associate is responsible for conducting independent research, analyzing data, preparing research summaries, and drafting manuscripts
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coordinating the research collaboration between the Africa Business School and the Growth Lab at Harvard Kennedy School. The primary focus of this position will involve data collection and analysis using
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team. The focus of your work during the project will be a near 7-year record of time lapse camera data collected overlooking the marine terminating glacier Narsap Sermia, SW Greenland. This hourly
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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Position Information General Information Position Number POST40 Working Title Post-Doctoral Fellow-Machine Learning in Thermal-fluid Sciences Division Academic Affairs Department College
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 15 days ago
: preparation and analysis of biological samples for mass spectrometry calibration and quality control of the mass spectrometer analysis and interpretation of proteomics data collaboration with computational