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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Experience with HuggingFace Transformers and other open-source NLP and NLG (natural language generation) modules (ex.
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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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Machine Learning: Proficient in machine learning techniques, including supervised and unsupervised learning, deep learning, computer vision, and natural language processing.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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The Figure Eight platform transforms audio, video, text, and images into high-quality annotated data to support a variety of use cases ranging from computer vision and search relevance to data categorization and natural language processing (NLP.
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Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud) Experience with implementing artificial intelligence (AI) and machine learning in transportation Familiar with augmented reality (AR) and virtual reality (VR) technologies.
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Image processing and analysis with satellite imagery including spectral (MSI, HSI) radar or Lidar and EOIR. Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Proficiency with ArcGIS, ArcSDE, ArcView, ArcIMS, ArcTools, the Integrated Exploitation Capability (IEC) system, SocetSet, TerraExplorer/Builder, RemoteView, ERDAS IMAGINE, MRSID, VB/VBA (or some other object-oriented programming/scripting language), Oracle and other appropriate software to analyze geospatial data.
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Our platforms utilize state-of-the-art technologies to enhance mission-critical initiatives through advanced data analytics and machine learning. Databricks: Experience with Databricks for data processing and analytics, including building and managing data pipelines in Databricks environments.
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Job Description As a Data Scientist Senior Technical Specialist, some of your duties will include: Involvement in the analyses of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), natural language processing (NLP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Understand basics of Data Engineering work and contexts of the data product development, accordingly customize the approach/process/artifacts to meet the delivery need of the team.
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7+ years of experience in information systems, system administration, data engineering or network engineering. Experience creating and maintaining Software Defined Networks (SDN) Active Secret Clearance Desired Experience with Palantir Certification in one or more of the following: Cisco CCNA, CCNP, CCIE, CompTIA Network+ Analytical mindset – data-driven and able to problem solve, particularly in the use of platform metadata or logging data to diagnose issues raised by platform users in relation to system functionality, or data pipelines.
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Title Assistant Teacher, Marymount Early Learning Academy (ELA) Direct Supervisor Director, Early Learning Academy Status Full-Time, Exempt Grade 8 Job Profile 00241 Division Academic Affairs No. Direct Reports TBD Target Weekly Hours 40 Location 2807 N Glebe Road, Arlington, VA Benefits Eligibility Yes JOB SUMMARY Marymount University seeks experienced & passionate Assistant Preschool Teachers to join our team for the opening of the new Marymount Early Learning Academy (ELA) in September 2023.
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