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Strong research background in statistical learning problems, especially from a theoretical perspective, as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral communication skills
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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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cancer genomics and functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC
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of learning and innovation within the project team. Job Requirements: Doctoral degree in Chemical Engineering, Chemistry, or a related field Experience in python is required Experience in flow chemistry
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in econometric analysis Proficiency in scripting in and performing data analysis in Python Proficiency in running laboratory and field experiments More Information Location: Kent Ridge Campus
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experience in IC design/Electronics Familiar with Analog/Power Management/RF/ADC/DAC IC design Proficiency in Cadence Proficiency in Python and Matlab Experience in implementing algorithms for machine learning
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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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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
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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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