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Hands on experience with Java, Spring Boot , Cloud ( Azure/GCP/AWS Kafka (or other messaging service), Memcached/Redis or any caching technologies, relational DBMS ( MySQL, Oracle etc ) Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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The Department of Computer Science in the College of Engineering at UC Davis, invites applications for a pool of qualified temporary instructors to teach a course in Hacking 4 Climate: business models for addressing climate challenges.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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BA/BS degree in a relevant field such as Environmental Science, Environmental Health & Safety, Sustainability, Management Information Systems, Information Technology, Computer Science.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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Our interdisciplinary scientists steward a breadth of efforts that encompass research on plants to groundwater science and coastal zones, to storm prediction. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them.
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Opportunities are available to participate in teams by contributing to software development, design, and testing, along with data science efforts in data preparation/conditioning, data modeling/analysis, data visualization, and data validation.
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As a year-round intern in ADSA you will assist in the entire software development and/or data science lifecycle. PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics.
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This includes predicting the impacts of natural hazards and extreme climate events on Earth and human systems, along with the impacts of wildfire, flooding, sea level rise and storm surges. Driven by a “science-to-solutions” philosophy, we provide scientific leadership and technology to enhance national security, mitigate natural hazards and optimize disaster response.
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We focus on understanding and mitigating environmental contamination and increasing the resiliency, security and sustainability of water resources. ADSA staff develop novel analysis methods for data integration with state-of-the-art technologies to help clients craft methods and tools for informed decision- making.
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We provide geointelligence through advanced sensing and data analytics to forecast complex system behaviors and operational performance to understand human-natural systems. Our work focuses on solving complex problems in the dynamic Earth system.
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Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience.
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Our research focuses on understanding and mitigating operational risks at the interface of human and natural environments. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
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PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
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At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. The Applied Decision Systems and Analytics (ADSA) group at the Pacific Northwest National Laboratory (PNNL) provides an opportunity to work in a dynamic environment solving challenging and interesting problems with national and international impact.
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computer science data hands on jobs Company: Harnham in Niles, Illinois
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