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A Ph. D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related technical field.
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Exposure to data and data types in the Materials science, chemistry, computational chemistry, physics space a definite plus, but not required. Knowledge of data visualization tools like Dash Apps, Tableau, Power BI, etc.
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The ideal candidate will have a strong educational background in computer science, computer engineering, or electrical engineering, coupled with experience in various aspects of computer science, including artificial intelligence, machine learning, operating systems, databases, data structures, computer networking, virtualization, file systems, digital design, and computer architecture.
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And at least one of these areas: Writing complex queries using SQL,R (or equivalent) to extract data from relational databases; utilizing data warehouse environments (or similar); Developing surveys, conducting focus groups, and collecting qualitative data Preferred Qualifications A bachelor's or master's degree in social science, data science, analytics, research, public administration, or related field.
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Proficiency with OCI-Data Science, Oracle Data Integrator (ODI) and Oracle Integration Cloud (OIC) strongly preferred. As a Manager in our AI & Data Team, you will lead and deliver small engagements, or components of large, complex engagements that identify, design and implement creative business and technology solutions for our clients.
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Bachelors degree with focus on Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science or related disciplines. We are a long-standing leader in financial planning and advice, a global asset manager and an insurer.
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Responsible for establishing relationships and engaging in peer-to-peer level scientific discussions around emerging data, treatment guidelines, molecular pathways, mechanism of action Takeda Oncology products including clinical outcomes and research opportunities.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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OR A Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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O Facilitate an ongoing, formal partnership via a dotted-line relationship with the CAS Data Analytics team's Data Science Manager. o Coordinating with the Senior Audit Director and overall team to identify use cases and develop plans for data analytics, data science and continuous auditing by examining the audit plan and collaborating with assigned audit team(s) and CAS Data Analytics.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Science or engineering background in a relevant field, i.e. BS, MS in materials science or engineering, mechanical engineering, powder metallurgy, nanotechnology, applied physics, chemical engineering, or related field.
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Required: Must be a graduate student at CSP in a related graduate program (MS in Data Analytics, Data Science, MBA, MA in Strategic Communication Management, Leadership and Management preferred.
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Candidates will join the multidisciplinary and multidepartment Masonic Institute for the Developing Brain with on-site expertise spanning developmental and clinical neuroscience, bioinformatics, and data analytics and have access to the broader University of Minnesota neuroimaging, high performance computing, and mental health research communities.
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data science jobs Title: project manager Company: Nike Inc in St Paul, MN
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