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testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Job Requirements: PhD candidates with strong background
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a related field. Strong programming skills (R, Python) and experience with NGS data analysis. Proficiency in statistical and machine learning methods for biological data. Familiarity with high
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in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body
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tunnel experiments is a plus • Experience in programming and AI/machine learning is a plus More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
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one of the following: Econometric methods for causal inference; Data science and machine learning; Survey design and analysis; Qualitative analysis skills specialized in policy and geopolitics A good
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informatics approaches (e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication
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(e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication (oral and written
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, and application domains. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Physics, Computer Science, Machine Learning or relevant fields. Strong
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: PhD in Mechanical Engineering, Structural Engineering, Civil Engineering, Industrial Engineering, Machine Learning, or related fields Expertise in numerical simulation of multi-physics systems Expertise
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Engineering/Computer Science/Electrical Engineering or equivalent. Have relevant research/industry experience in Machine Learning, AI and Privacy. An excellent team player who can cope with an agile and fast