155 processor-"https:"-"https:"-"https:"-"Institute-of-Computer-Science" Postdoctoral positions in United States
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, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures
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scientists, roboticists. The project will focus on developing an integrated autonomous lab system for strucutre-property characterization of novel materials heterostructures for quantum and microelectronics
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floor to above shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials
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machine learning models to integrate real-time monitoring data. Collaborate with colleagues in computer science and computer engineering to develop models. Contribute to the dissemination of research
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/Certifications Job Duties: Perform computer simulation, perform experiment design and testing. Writing project reports, and grant proposals. Supervise and collaborate with graduate students in the lab. Publish
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housing and a dining hall that is open for three quarters per year, as well as in winter for workshops and conferences. There are 12 lab buildings, 11 of which have flow-through seawater; a computer lab; a
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Context of Job: The Department of Electrical and Computer Engineering (ECE) is looking for a
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). Experience with use of artificial intelligence and machine learning in