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The department is looking to grow its expertise in data integration, data science, artificial intelligence/machine learning, clinical trials, genetics and genomics, survey statistics, high-dimensional modeling, imaging statistics and computational statistics.
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Evaluate spatial and temporal diversity in wild parent stocks of coregonines used for restoration with Restriction-site Associated DNA sequencing (RADseq) data from wild populations supporting hatchery stocks.
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Collaborate with technicians preparing genomic libraries in the Molecular Ecology Laboratory at the USGS Great Lakes Science Center. The successful candidate will work with a dynamic team of scientists at CIGLR, the University of Michigan School for Environment and Sustainability (SEAS), and the U.S. Geological Survey Great Lakes Science Center to advance understanding of species relationships of Great Lakes prey fish (coregonines) and support the conservation and restoration of native fish populations.
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MIDAS promotes advancements in data science and artificial intelligence, and enables their transformative use in a wide range of research disciplines to achieve lasting scientific and societal impact.
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Participates in the ongoing operations of the Medical Center's Infection Prevention and Control Program, working with Infectious Disease physicians and others as appropriate to develop guidelines, actions items and data collection procedures.
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Experience with GIS analysis and remote sensing data processing, particularly with multispectral and hyperspectral data sets, for water science research is required, as is knowledge of how remote sensing data relates to inherent optical properties.
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Collects and tracks colonization and infection data through passive and active surveillance, using electronic tools, microbiology records, chart review, rounds, and multidisciplinary communication.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Reporting directly to the Director of Data Science, you will collaborate closely with cross-functional teams. Leverage large-scale data processing technologies like Spark and Hive, and machine learning platforms to handle complex datasets.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas.
$145,000 a yearInternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Conducts field studies and surveys to collect fisheries data and/or specimens. Assists scientist in the development of study plans by identifying and documenting standard technical operating procedures for data collection and analysis techniques and equipment operation appropriate for project goals.
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Masters’ Degree in one or more of the following areas: science, engineering, environment, natural resources, sustainability, climate change, planning, public policy, or related field. Bachelor’s Degree in one or more of the following areas: food science, agriculture, circular economy, natural resources, sustainability, science, engineering, environment, planning, public policy, or a related field (can be waived if applicant has at least 3 years of professional experience.
$62,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Knowledge of CCR Rule, Legacy Rule, monitoring networks, and familiarity with the use of hydrogeologic data to support groundwater model development and calibration. Professional or technical degree in engineering, geology, environmental science, or related field.
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Required qualifications include a Ph. D. degree or equivalent in biostatistics, statistics, genetics, data science, computer science, bioinformatics, or other related quantitative discipline, and a strong research interest in health data science.
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data science jobs Company: Google in Ann Arbor, MI
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