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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Clemson University's Bioengineering Department is seeking applicants for a tenure-track faculty position at the Assistant Professor level in the areas of Biomedical Artificial Intelligence, Machine Learning, Biomedical and Health Informatics, or Multivariate Analysis.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Should have knowledge of, but not expertise in, open-source high-code frameworks like PyTorch or TensorFlow, augmented AI and ML platforms, pretrained ML models and integrated AI PaaS tools.
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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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As a Quantum Computing Research Scientist Vice President within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the theoretical understanding of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering. Familiarity with advanced geospatial data science, modeling, and analysis techniques and methods (e.g., supervised and unsupervised machine learning, GeoAI, Geosimulation, patiotemporal graphs) is a plus.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Expertise in Google Cloud Technologies: Hands-on experience with Google Cloud Platform (Google Cloud Platform), including Dialogflow, BigQuery, Google Kubernetes Engine (GKE), and AI/Client services.
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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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Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Hands-on experience with LLM application frameworks, such as Langchain.
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Fidelity's Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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The Department of Mathematics & Statistics offers degree programs in Pure Mathematics, Applied Mathematics, Statistics, and Mathematics Secondary Education at the B.S. level, Applied Mathematics at the M.S. level, and a doctoral concentration in Data Science and Analytics within the multidisciplinary PhD program in Applied Science and Technology.
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Chasewood Learning is part of US Engineering League, a national organization dedicated to providing STEM based education with an emphasis on hands on learning through competition.
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The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
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