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For software engineers: Experience with WebServices and RESTful APIs Experience with Web technologies (e.g. HTML, CSS, JavaScript, TypeScript, Webpack/Vite, APIs) and DevOps practices (e.g. automated testing, build tools) Some experience in relational or non-relational databases (e.g. MongoDB, ElasticSearch), semantic technologies, natural language processing and machine learning Interest in or experience with Android development in Java and/or Kotlin.
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You will collaborate with engineers and scientists to design and perform human subjects research, machine learning, software systems, and/or biomedical signal processing. Have classroom or professional experience developing and/or implementing machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data.
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Equipment utilized may include, but is not limited to monitoring equipment, surgical instruments, cardiac output machine, pulse oximeter, ECG machine, intra-aortic balloon pump, AngioJet, etc.
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Across North America and all over the world, Mathnasium Learning Centers are committed to helping students achieve their full potential in math. Maintain a safe and professional learning environment.
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Interest and/or experience in one or more of the following domains: digital signal processing, RF software engineering, algorithm development, software defined radio, and machine learning.
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We provide extensive training to anyone interested in learning about ABA therapy and autism and have a passion for working with children Schedule, Location and Compensation: When : Sessions typically occur 3-5 days per week for 2-3 hours, most often during after school hours between 3pm-8pm Where : Sessions typically occur in the childs natural environment (in the childs home, community, and/or school.
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Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton. Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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Have classroom or professional experience conducting research on brain-computer interfaces, biologically-inspired artificial intelligence algorithms, connectomics, or human-machine teaming. We are seeking a researcher to contribute to and lead pioneering work in neural interfaces, neurally-inspired AI and/or human-machine teaming.
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At least 5 years of post graduate professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization.
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Demonstrated experience with adult learning, curriculum design methodology, learning strategy. Business acumen, analytical skills and learning agility, as demonstrated by the ability to think deeply and systematically about business problems, breakdown those problems and define and present creative solutions.
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Experience supporting deployment and testing of asynchronous eLearning courses on LMSs as well as open-source learning platforms and web formats. Minimum of two (2) years of experience rapid eLearning authoring tools such as Adobe Captivate/Animate, Articulate Storyline, and Adobe Professional Suite to create, develop, or manipulate assets for eLearning courses.
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TEN (10) or more years' experience developing high-quality courses using a combination of web-based training, distance-learning, and instructor-led training. This job requires your expert knowledge in adult learning theories and design and development using best practices, methods, strategies, and evaluation to shape and guide the development and delivery of assets related to systems training.
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By fostering a culture of collaboration, continuous learning, and customer-centricity, the Lockheed Martin RMS Cyber and Intel team in Maryland empowers its clients to stay ahead in an ever-evolving security landscape, ensuring mission resilience and operational excellence.
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To monitor patients before, during and after dialysis treatment including measuring and recording stats, patient observations, and hemodialysis machine setup. Health care experience a plus including: BONENT Certified, Certified Hemodialysis Technician (CHT), Certified Nursing Assistant (CNA), Certified Medical Assistant (CMA), or Phlebotomy certification.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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machine learning jobs Title: c developer in Fort Meade, MD
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