600 machine-learning "https:" "https:" "https:" "https:" positions at Stanford University in United States
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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, statistics, or mathematics OR a strong background in gene engineering and functional interrogation of hematopoietic stem and progenitor cells. Strong knowledge in bioinformatics, machine learning, statistics
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life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits that increase financial
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, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand. Ability to stand and move on hard surfaces for up to eight hours
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computer system and verify entries for accuracy and completeness. Maintain complex databases and develop tools and guidelines for data collection and integrity. Work is performed by exercising independent
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, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand. Ability to stand and move on hard surfaces for up to eight hours
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the following areas: Expertise in organic or medicinal chemistry. Expertise in bioinformatics and machine learning. Outstanding mammalian cell culture techniques. Experience in basic cellular and molecular
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, developing, implementing, modifying, and maintaining computer programs and LBRE IT’s web applications. Work on systems of small to moderate size and complexity or segments of larger systems. Core Duties
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and policy issues. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general guidance and manage multiple research tasks
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supports DEI/JEDI initiatives to create a culture of belonging https://careersearch.stanford.edu/diversity . Your primary responsibilities include*: Work with the faculty, postdocs, and department