296 programming-language-"St"-"University-of-St"-"St" Fellowship positions in Singapore
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of programming languages and interest in the implementation of algorithms relevant to the project The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We
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colleagues, and fluency in English. Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and
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in Python, R, or similar programming languages; • Experience with network analysis, process mining, and time-series data analysis is a plus • Strong analytical, problem-solving, and communication
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community. Requirement: PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like
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preferred. A track record of publication in reputable conferences or journals is a plus. Proficiency in programming languages relevant to algorithm implementation is desirable. Strong analytical thinking
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), MEng/MSc (Research Associate) in Electrical Engineering, Computer Science, Statistics, or other related fields. Solid Mathematical skills. Experience in one of the programming language – Python, Matlab
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grids and microgrids. Proficient in MATLAB, LabVIEW, or similar programming languages. Experience in power systems simulation software packages such as MATLAB/Simulink or OPAL-RT. Strong analytical and
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related fields. Proficient in common programming languages such as Java, C/C++ and Python. Experience in developing and implementing Machine Learning and AI algorithms. Good written and oral communication
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evidence of leadership to the candidate’s university and country, profession, and the international academic community; Proficiency in English is required. Application Procedures Interested applicants
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in a dynamic academic setting. The Economics Program at NTU’s School of Social Sciences seeks a highly motivated postdoctoral research fellow specializing in econometrics and empirical macroeconomics