190 machine-learning "https:" "https:" "https:" positions at Stanford University in United States
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: Collaborate and participate in large consortia to assess needs and requirements Design and develop machine learning models for genomics applications Maintain and update existing deep learning frameworks
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records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general
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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
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, retirement and savings options: Events and program for children, sports camps, tuition options World class intellectual stimulation through learning and development classes, workshops and onsite conferences
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, collaboration, and 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
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to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
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for immediate access to your resume, you must apply to http://stanfordcareers.stanford.edu and in the key word search box, indicate Requisition #108641 A cover letter and resume are required for full
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of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance
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the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department Description: The Red-Horse laboratory in the Department of Biology studies how
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) and Google Workspace (Google Drives, Docs, and Sheets). Experience with Zoom and willingness to learn hybrid meeting technology. Ability to interact with a broad spectrum of academic clients. Prior