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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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This position includes access or potential access to ITAR and EAR technical data. Amphenol CMT is an industry leader in designing and manufacturing high-performance solutions for the medical device market.
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Artificial intelligence and predictive analytics in health (i.e. Machine Learning, Large Language Models, Natural Language Processing ) DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health informatics, equity in informatics, and translational bioinformatics.
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This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
$53,354 - $72,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The scientist must have a broad knowledge of modern data science methods with an emphasis on machine learning to advance multi-objective molecular design efforts. Incorporate data knowledge into development and application of suitable machine learning algorithms to produce meaningful predictive models.
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You will utilize machine tools for onsite milling, grinding, boring, facing, and drilling, and the use of various other portable machine tools to accomplish repairs. You will set up and operate machine tools such as small lathes, milling machines, drill presses, and precision grinders to manufacture component parts or remachine existing parts such as bushings, bearings, seals, couplings, and pistons.
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Summary: This position welds pipe and other metal components together to design specifications or repair products, such as machine parts, shipboard equipment, according to layouts, blueprints or work orders, using SWRMC approved welding and brazing techniques with a variety of arc and gas welding equipment.
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Experience monitoring, maintaining, enhancing and managing all system (software/hardware/network/configuration and data management) operations and system administration, integration, and data transfer for modeling and simulation tools, architecture tools, and data repositories within the Naval Integrated Modeling Environment (IME.
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We seek a talented computational scientist to combine multi-modal data (genetics, omics, imaging, EHR) to enable the development of new therapeutics. Expertise in analysis of high-dimensional molecular data, such as single cell, spatial omics, CyTOF, CRISPR-Seq data and their applications.
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Hands-on knowledge and experience in testing some or all of the following Oracle EBS, Oracle Fusion, Oracle Warehouse Management System, Hyperion and FCCS, data warehouses, ETL processes, OIC and integration and logging tools.
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Job Title: Data Engineer. As a Data Engineer at. Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
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Machining equipment such as drill, lathe, and milling machine, measuring equipment, such as micrometers and venire calipers, various hand and power tools, such as hammers, drills, grinder, welding equipment, cable cutters, electrical tape, electrical test equipment, blueprints, Navy standards manual, and cleaning equipment.
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Design, code and test signal processing firmware (FFT, filters, etc), or communication control protocol state machine software (ORAN M-plane, C-plane, etc) Compute or control state machine intensive embedded systems / bare-metal software development (for eg - low level PCIe state machines, IOT device firmware, USB device firmware etc.
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big data machine jobs Title: machine learning engineer in National City, CA
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