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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Job Segment: Cloud, Embedded, Computer Science, Data Center, Engineer, Technology, Engineering. Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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The primary purpose of the Associate Data Scientist is to work as a computational scientist in the laboratory of Dr Kunal Rai, in Genomic Medicine Department at The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Supermicro is seeking a senior product manager who can lead the development and deployment of Gen AI applications & software products for cloud and data center customers. Bachelor or Master's degree in Computer Science or Computer Engineering with hands-on PM/Development experience in AI/ML architecture and Gen AI software & applications (e.g., LLM-based chatbots, AI vision, video/image analysis/detection, digital twins) is desirable.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A master's degree in public policy, education, economics, statistics, data science, mathematics, sociology, psychology, computer science, or a related field OR a bachelor's degree with at least two years of post-graduate experience.
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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
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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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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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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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Qualifications: MS/MA in Business Administration/Management, Accounting, Finance, Math Economics, Computer Science or Management Information Systems (MIS) and 1 year of experience or BS/BA in Business Administration/Management, Accounting, Finance, Math, Economics, Computer Science or Management Information Systems (MIS) and 6 years of experience.
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Driven by a “science-to-solutions” philosophy, we provide scientific leadership and technology to enhance national security, mitigate natural hazards and optimize disaster response. 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. 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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Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field. Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field.
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computer science data center jobs Title: architect Company: Dice in Bentonville, Kansas
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