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Environmental Scientist with a minimum of five [5] years of experience with performing highway construction or erosion and sediment control inspections, performing wetland and stream monitoring, and/or wetland and stream restoration/mitigation monitoring.
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As a member of our research team, you will contribute to projects in a variety of ways, such as designing, training, and developing machine learning (ML) algorithms, collecting and preparing data, evaluating models, and programming.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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We are seeking a Senior Materials Scientist who will bring domain knowledge, develop pioneering technologies, build portfolios, and help advise a talented team of scientists and engineers in chemistry and the physical sciences.
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Stantec's Environmental Services team is seeking an Environmental Scientist/Bat Biologist to provide environmental field surveys, reporting, and permitting support for clients in the transportation, renewable energy, electric transmission, and other business sectors.
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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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Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions. Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.
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Model Deployment: Collaborate with data scientists and software engineers to deploy machine learning models, ensuring optimal performance, resource utilization, and cost tracking and savings.
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Our spacecraft technologies help our civilian space and national security space sponsors reason about multiple new technologies including space-based networking, machine learning, cyber security, and image recognition.
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Technologies: Microservices, AWS, Docker, Kafka, Kubernetes, Cassandra, Java 17, Kotlin, ReactJS, Spring Boot/Cloud/Data, Redis, Postgres. Our work depends on a Java Developer joining our team to support a GDIT program that we are the prime on and is located at Annapolis Junction, MD. As a J ava Developer, you will develop highly efficient Microservices on a Linux operating system utilizing Java and Kotlin, for use in Docker/Kubernetes high-volume data-processing applications, while practicing modern Agile methodologies.
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Support the Laboratory for Analytic Sciences (LAS) in developing and coding a machine learning recommender system for corporate data feeds. Use either Ghost Machine (GM) Pig and/or GMLearn Instant Environment to conduct Exploratory Data Analytics (EDA.
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Experience with RESTful services, JavaScript, Bash scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow, and data science/machine learning are preferred. Experience with RESTful services, JavaScript, Bash scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow, and data science/machine learning are preferred.
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The RN Care Coordinator utilizes evidence-based medicine, data analytics and innovation in implementing care management principles, and applies critical thinking skills and leadership skills in working with the team to meet patients and their families’ needs.
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Technology includes a Varian iX machine with Varian Fullscale cloud-based Eclipse. Experience as a radiation oncology medical physicist, including clinical experience with linac calibrations and QC, treatment planning system QC and routine use, sealed isotope therapy and radiation safety, IMRT planning and delivery, computer systems quality control, and medical physics program documentation.
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Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, PostgreSQL database administration, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
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machine learning data scientist big jobs in Columbia, MD
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