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About the Opportunity The Faculty of Engineering, within the Department of Materials Science and Engineering, is seeking a standout Research Fellow to join our team. In this role, you will play a key part
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Qualifications: A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Contact Information: For more details on our research and recent publications, see the Geometric
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; these are 3-year non-tenure-track positions that are funded through the Center with support from the College of Engineering, the Bowers College of Computing and Information Science, and Cornell Tech at Cornell
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journals and conferences. PhD (or equivalent) in Human-Computer Interaction, Computer Science, or a related field. Strong understanding of ultrasound mid-air haptics. Experience developing and applying mid
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anniversary in 2031, the University of Liverpool is proud to launch the second cohort of our prestigious Research Fellowship programme, a cornerstone of our Strategy 2031 vision. We are seeking Research Fellows
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findings in peer-reviewed journals and conferences. You should apply if PhD (or equivalent) in Human-Computer Interaction, Computer Science, or a related field. Strong understanding of ultrasound mid-air
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Writing Peace programme, with particular emphasis on creating materials for use in secondary-level education. The successful candidate will meet the following essential criteria: • Recent doctorate in a
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sciences, and the Internet of Things for smart cities. In alignment with the MSAR’s goal of economic diversification and deepening collaboration with Guangdong Province in Hengqin, UM continues to invest in
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): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical
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, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data