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Collect and analyze data using statistical and Artificial Intelligence /machine learning algorithmsSupervise and assist undergraduate students working on research projects and act as a liaison/mediator between undergraduate students and the faculty researcher.
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Bachelors or Masters Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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The department’s research portfolio is thriving, with faculty actively engaged in research in a diverse range of fields such as bioengineering, communications and networking, computer engineering, controls and robotics, cyber-physical systems, cyber security, digital forensics, machine learning, nanoelectronics, power systems, signal processing, and space-based systems.
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more! Prepare a beautiful, orderly environment that fosters concentration, independence, and deep learning.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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We are seeking a seeking a great mid level data architect with data visualization tools who love to spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances.
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Advanced Technology Experience: You have demonstrated contributions to advanced technology developments in areas related to machine learning, artificial intelligence, advanced computing, human-computer interaction, computer vision, and natural language processing.
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MS/PhD in areas of interest which include Defense (biosecurity, intel, threat assessment), Machine learning and modeling (computational biology, bio- or medically focused AI/ML, digital twins, predictive and multi-scale modeling) and chemistry (medicinal, organic, inorganic.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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The Preschool Assistant Teacher will work closely with the Lead Teacher in developing and implementing an engaging and stimulating learning environment for preschool-aged children. 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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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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Learning about committees (Behavior Support Committee [BSC] and Local Human Rights Committee [LHRC]) that govern the adult world and participating in meetings to support my participants. Board Certified Behavior Analyst or Certified in Positive Behavior Support techniques.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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machine learning jobs Company: Dice in Springfield, VA
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