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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
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Essential SkillsBachelor's / Master’s or degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: information science, computer science, data science, communication, information technology, network administration, Information systems, human-computer interaction, Informatics.
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Requirements: · Bachelor's degree in Computer Science, Engineering, or a related field. · Familiarity with health information management principles, healthcare data standards (e.g., HL7, FHIR, etc.
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MS degree and 5 years of industry experience or PhD degree in physical sciences (e.g., Chemistry, Physics, Biology, or Chemical Engineering), quantitative field (e.g., Computer Science, Statistics, Applied Mathematics), or equivalent industry research experience.
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Process AI & Automation Developer (Manager) (Multiple Positions) (1509604), Ernst & Young LLP, New York, NY. Analyze business and data processing problems to implement and improve computer systems using robotics technology.
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Bachelor’s Degree in Computer Science, Information Systems or related field or equivalent industry experience. As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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A Degree in Computer Science, Engineering or similar field of study or equivalent work experience. Strong understanding of distributed systems, data structures, algorithms and system design.
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EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Position SummaryThe Clinical Data Science team is tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.
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Completed PhD in neuroscience, biomedical engineering, computer science, mathematics, biophysics, neuropsychology or related fields. Particular focus will be placed on (1) the brain development and cross-species comparison between human and nonhuman primates based on both in vivo and ex vivo MRI imaging data.
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NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces.
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Our services include MEP design, Net Zero Energy, lighting design, commissioning, vertical transportation, low voltage, information technologies, security, audiovisual, code consulting/fire engineering, sustainability consulting, and acoustics.
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data science computer information systems software engineering jobs Title: defense analyst in New York
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