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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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In this role, you will be responsible for leveraging data science techniques to analyze and optimize data taxonomy processes within the Information Systems Security Management (ISSM) environment.
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In-depth understanding of Databricks, encompassing data engineering, data science, and machine learning capabilities. Design and optimize data pipelines, ETL processes, and data storage solutions using Databricks and cloud services (AWS, Azure, or Google Cloud.
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Qualifications: Bachelor’s degree in computer science, science technology, international relations, political science, economics, law or a related interdisciplinary field with minimum of eight (8) years of experience supporting development activities (USAID-funded activities preferred.
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Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. Analyze sparse microbiome data and large-dimensional data from genomes, metagenomes and metatranscriptomes.
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3+ years of hands-on work experience in one of the related areas: Data Science, Data Engineering, and ETL. Experience with data exploration, normalization, curation, and AI/ML data operations.
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HJF is seeking a Postdoctoral Fellow - Bioinformatics to perform bioinformatics and data science research. The Postdoctoral Fellow will also perform research in team science collaborations, such as in the Applied Proteogenomics and Organizational Learning and Outcomes (APOLLO) program, which provide opportunities for skillset and career growth (see and Particular areas of focus may include lung cancer, spatial transcriptomics, and/or multi-omics data analysis techniques.
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Preferred Qualifications You will wow us even more if you have these skills: - Proven experience with data science/advanced data analytic techniques, such as using python, R, or other scripting languages - Proven experience with statistical data mining techniques The ideal candidate has a demonstrated aptitude for problem solving complex technical issues and thinking outside the box.
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CT State CC-Campuses Courses include the following: Astronomy Biochemistry Biology Cannabis Studies Chemistry Data Science Earth Science Environmental Science Geography Horticulture Mathematics Natural Resources Physics These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
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Healthcare, Commercial office, Hospitality, Science and Technology, Federal Projects, High rise Residential, Mission Critical)Autodesk REVIT experience. Your Impact Provide designs for telecommunications systems (Structured cabling systems, telecom spaces, and pathway infrastructure) and other related disciplines such as electronic security, audiovisual, and data network systems.
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MetaPhase supports the Chief Information Officer (CIO) and Chief Data Officer (CDO) at the National Science Foundation (NSF). This project supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of NSF’s data infrastructure.
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Undergraduate degree in Computer Science, Data Science, Information Sciences, Econometrics, required. The Manager, Valuation & Capital Market Analysis – Complex Financial Instruments – MLOps will be a member of the Data Science/MLOps team that builds Model and related infrastructure to speed up the development and deployment of ML and Statistical models at scale and bring game-changing impact to our client’s decisioning.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Expert level knowledge of land-use activities, agricultural science, soil science, crop management, water resources including irrigation practices, pest management, and nutrient management.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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data science jobs Title: consultant Company: Palo Alto Networks in Mclean, VA
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