229 parallel-and-distributed-computing-phd Fellowship positions at Nanyang Technological University
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scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mathematics, physics, computer science, or a closely related
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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and tutorials Job Requirements: MSc/MEng (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics, or other related fields. At least 2 years of relevant
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Prepare report and conduct presentation at seminars. Assist the school in various teaching activities, including instructing or supervision of labs and tutorials. Job Requirements: PhD (Research Fellow
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Development of new multidomain simulation platform for electric motor drives Development of new fabrication methods for electric motor drives Experimental testing for motor system Job Requirements: PhD degree
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tutorials. Assist in mentoring and guiding students in projects and competitions. Job Requirements: MSc/Meng (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, or other
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
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Performing CO2 adsorption and mixed-gas separation performances Job Requirements: PhD from a reputable university in the field of chemistry, chemical engineering, materials science or other related disciplines
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: • PhD degree in Water Resources Engineering or related field • Familiarity with MATLAB, Python, ArcGIS, network theory, statistical analysis etc. • Good written and oral