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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
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learning, mathematics, physics, or similar field Experience in Python and at least one deep learning framework like PyTorch or TensorFlow Experience with analyzing large data sets or in advanced computer
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Position Details Position Information Announcement Number STAFF - VA - 26144 For questions regarding this position, please contact: Cheryl McDonald cheryl.mcdonald@montana.edu 406-994-5629
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Centre. The postholder will work on a Wellcome funded project on the impacts of loneliness and social isolation on adolescents. The main duties for this role will be analysing existing large-scale data
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Posting Details I. DEPARTMENT INFORMATION Job Description Summary: The Biostatistics Center of the Milken Institute School of Public Health is an off-campus research facility of The George
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 6 hours ago
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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chromatography, and ICP-MS. Also learn how to use and maintain a large inventory of field monitors and their calibration approaches. Once trained, the SAII will be able to train and supervise students and work
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spectrometers and ICP-MS. Will use and maintain a large inventory of field monitors. Will train and supervise students and research support staff and work closely with postdoctoral research scientists and
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of methodologies and processes for managing large scale databases. Demonstrated experience in handling large data sets and relational databases. Knowledge of addressing and metadata standards. Advanced written and
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trucks, tractor-trucks and heavy construction equipment which can be operated only by a highly skilled operator. Heavy equipment include large track-type tractors (Cat D-6 or larger), large-earth-moving