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scientific database software - Demonstrated expertise in chemical structure analysis by computer - Demonstrated facility in applying mass spectral fragmentation rules for electron ionization
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ability to quickly learn and master computer programs. Strong analytical skills and excellent judgment. Ability to work under deadlines with general guidance is essential. Excellent organizational skills
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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develop public health-focused entrepreneurship opportunities in collaboration with new and on-going WashU programs. Develop and sustain an alumni network for FARM-supported students and postdocs. Monitoring
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that are to be conducted in the lab. Collecting and analyzing behavioral and EEG data for various research studies that are to be conducted in the lab. Â Writing computer code to implement computerized experiments
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experimental approaches, including machine learning, genomic assays, and live imaging of subcellular dynamics coupled to CRIPSR-based genome engineering. Much of the experimental work is carried out in live
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the Lamont campus. Assist graduate students, postdocs, and faculty to setup and perform laboratory experiments; be part of a team solving cutting-edge scientific problems. Duties and Responsibilities include
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minimizing computational and energy costs. The proposed approaches will rely on machine learning methods applied to image analysis, with the objective of enabling early identification of at risk areas and
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faculty, postdocs, and students across physics, biology, engineering, and other STEM fields. Fellows will be provided an annual salary of $75,000, full benefits, and a research account of $4,000 per year
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operational constraints and employee preferences, within rigorous optimization frameworks. Data science and machine learning: experience with data preparation, feature extraction, and preference learning