224 phd-in-computational-mechanics-"St"-"FEMTO-ST" Fellowship positions at Nanyang Technological University
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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involved in the project. Contribute to research publications and grant proposals. Job Requirements: PhD in Electrical Engineering or a related field, with specialization in power electronics or converter
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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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administrative work associated with the program of research as necessary. Job Requirements: PhD degree in communication, psychology, sociology, or a social science related discipline. Strong foundation in survey
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machine learning conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with strong initiatives. Good
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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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the lab. Communicate research findings effectively and contribute to collaborative projects. Job Requirements: PhD in structural biology, biochemistry, or a related field. Extensive technical experience in
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational