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Lawrence Berkeley National Lab’s (LBNL ) NERSC Division has an opening for a Machine Learning Engineer to join the team. In this exciting role, you will serve as a Machine Learning Engineer in
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Job Description Apply now Job Title: Intern/Aide - Machine Learning Division: Integrative Physiology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Up to $15/hour FLSA Status
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Job Description Apply now Job Title: Intern/Aide - Machine Learning Division: Integrative Physiology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $15/hr FLSA Status
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updates and technical insights to the supervisor regarding progress in AI model development. Stay abreast of the latest advancements in natural language processing, large language models, and machine
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), signal processing, machine learning, computer vision, video processing After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information
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Location:South Kensington About the role: We are seeking a highly motivated researcher with a background in high performance computing and machine learning to join our team developing geometric
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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This is a two (2) year 100% Contract position. This appointment may be extended or converted to career status based on the needs and funding of the department. The CW3E machine learning team is
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improving plant health using machine learning and artificial intelligence. Mentor(s): The mentor for this opportunity is Yulin Jia (yulin.jia@usda.gov ). If you have questions about the nature of the research
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and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospect PhD student will join a research team in KTH led by Professor Aristides Gionis