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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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Newly appointed faculty will be expected to conduct next generation translational research focused on cancer and driven by data science, artificial intelligence, machine learning, computer science, computational biology, and other quantitative fields.
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A Baccalaureate degree from an accredited college in Criminal Justice, Criminology, Sociology, Statistics, Mathematics, Computer Science, Operations Research or a closely related field; and one year of satisfactory full-time experience in the analysis and/or research of data related to crime, criminals, criminal intelligence, and/or other social sciences in a police, judicial, or other criminal justice setting; or 2.
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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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Master Degree in Exercise physiology or Exercise Science. Shift: Day Scheduled Hours: HOURS VARY Req ID: 215841 Salary Range/Pay Rate: $68,000.00 - $68,000.00. For positions that have only a rate listed, the displayed rate is the hiring rate but could be subject to change based on shift differential, experience, education or other relevant factors.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.g., Qlik Sense, Tableau, Power BI.
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Working knowledge or coursework in data science and knowledge of data science languages such as R, SQL, and Python. Sustainability Responsibility Ensure all duties carried out and actions completed in every aspect of your role, contribute to the short and long-term Sustainability Goals set-forth by the ELEMIS - Climate, Biodiversity & People Pillars QUALIFICATIONS & CHARACTERISTICS Bachelor's Degree (BS/BA), 1-2 years of experience in data science, data analytics, or paid media as an intern or full-time.
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Gather and oversee program implementation data and student information for each partnership and initiative, and assist in creating user-friendly “dashboard” views for easy data analysis and engagement by the Student Success Team, Community School Team (CST), and other school stakeholders.
$61,200 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Responsible for identifying and implementing (non-medical) scientific aspects of the program and/or study at planning, execution and reporting, including (but not limited to) integration of Biomarkers and Data Science/Digital Health initiatives into studies.
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Responsible for the translation and implementation of (non-medical) scientific concepts into the study design and/or program across planning, execution, and reporting, including integration of biomarkers, digital technologies, data science initiatives, and select vendors.
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Along with SRP or Clinical Leader and global development partners, responsible for oversight and high-quality implementation and closure of the study, ensuring data integrity. Have Data Visualization experience (Tableau.
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Extensive experience with Azure Databricks, Apache Spark, and Big Data technologies. The ideal candidate will have a deep understanding of the Azure Databricks platform, Big Data technologies, and the broader Azure ecosystem.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Ph. D. in Biological Sciences, Genetics, Statistics, Biostatistics, Computational Biology, Bioinformatics, Computer Science, Epidemiology, or equivalent; Familiarity with analyzing high-throughput genetic data is preferred (e.g., processing FASTA, BAM/CRAM, VCF, BED/BIM/FAM files using PLINK, bcftools, Hail.
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data science jobs Title: shift in Jersey City, NJ
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