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Resilient Education for All, Designed for You” , specializes in the development of data-rich, multi-level, and complex academic pathways, focusing primarily on the transition of students from the Montgomery County public school system (MCPS), through programs at regional community colleges such as Montgomery College (MC), into undergraduate and graduate programs at the Universities at Shady Grove (USG), and beyond, into the early years of their professional careers.
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Experience working with biomedical data repositories and/or biobanks (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, GTEX) Creating, expanding, and supporting FAIR data standards in biomedical science (e.g. BIDS, NWBOME, GO.
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A Master’s degree in Environmental Economics, Data Science, Statistics, Environmental Management, Sustainable Development, or related field, with at least 3 years of related experience, or an equivalent combination of education and experience.
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We are looking for a talented and innovative Director, Data Science to join our AI and Machine Learning team. This individual will support the development of AI solutions and work closely with our team of data scientists to create and deploy machine learning models, focusing on Generative AI and NLP technologies.
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QualificationsRequiredBachelor's degree in Computer Science, Information Technology, or a related field, and ten (10) years of relevant experienceMinimum of five (5) years of experience in LabVantage 8 LIMS coding, development, and implementation.
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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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This individual will support the development of AI solutions and work closely with our senior data scientists to create and deploy machine learning models, focusing on Generative AI and NLP technologies.
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The Medical Science Liaison acts as a representative of the Nuclear & Precision Health Solutions (NPHS) medical affairs department to support Cardinal Health customers, the scientific development of drug products, and medical education.
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Bachelor's Degree combined with additional training or certifications in, and/or five years experience in international politics/foreign policy, research & evaluation, social science, or other related fields.
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At least 5 years of experience in securitized cash flow modeling or model development with a data science background using consumer, commercial borrower, or customer behavior. Intense collateral performance analysis of consumer and/or commercial asset classes involving large, multi format data sets including: auto loan, consumer unsecured loan, point of sale finance, timeshare, small business loans, equipment finance, and/or leveraged credit.
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Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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We support clients ranging from the U.S. Government (e.g., the U.S. Agency for International Development, U.S. Department of Defense, U.S. Departments of State and Labor, and the Millennium Challenge Corporation) to large bilateral and multilateral donors (e.g., the World Bank and the United Nations Development Program.
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Experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include-but is not limited to-data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
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Clinical science background: An understanding of clinical trial design, GCP, and site and data management; radiopharmaceutical drug development. Drug development toxicology testing: Study design and execution experience (i.e. acute and subacute studies; plus experience working with or in contracting CROs); knowledge of genotoxicology; cardiovascular physiology testing; neurologic testing, hematologic and physiologic function testing; animal necropsy and histologic assessments.
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The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
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data science and development jobs Title: science director in Bethesda, MD
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