18 plasma-physic-phd Fellowship research jobs at Carnegie Mellon University in United States
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research for the campus Develop own research agenda based on candidate’s future goals Qualifications: PhD required with demonstrated engagement with DEIB in scholarship or coursework. Field of specialization
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skills Qualifications: PhD in chemical engineering required. Interdisciplinary strength in catalysis. A strong research record, documented by recent publications in top-tier conferences and journals
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: PhD in chemical engineering required. Interdisciplinary strength in catalysis. A strong research record, documented by recent publications in top-tier conferences and journals. Highly motivated and
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applicants will have, or be close to completing, a PhD in ocean biogeochemistry, biochemical aspects of microbial oceanography or phytoplankton biology, or related fields. Applicants must be interested in
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strong interpersonal and problem-solving skills in team collaboration settings. Excellent written and verbal English communication skills PhD in computer science and education, human computer interaction
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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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for robot polishing Mentoring PhD, master, undergraduate students Report, paper, proposal writing Preferred Qualifications: 5 years of experience with industrial robots Required Skillsets: Software: C
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from multiple disciplines and institutions. Required PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection