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quantitative discipline) and relevant postdoctoral experience Knowledge and experience of various statistical packages such as R, Stata, Python Experience with large healthcare datasets or administrative data
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at least one scientific computing environment (e.g. Python, MATLAB, Modelica); experience with geothermal or reservoir modelling tools is an advantage. Research & Delivery Skills Ability to independently
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using R or Python and with strong command of advanced statistical methods, computational modeling, and/or NLP methods, is an asset. More Information Location: Singapore Organization: National University
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physics, with experience in thin-film deposition, device fabrication, and electrical transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data
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governance. Proficiency in SPSS, Python, R, or MATLAB for data analysis and visualisation. Experience in designing and evaluating exercise/prehabilitation programmes. Track record of publications and ability
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preferred: 1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint 2. Experience in R, Python The successful applicant is expected to possess at least a PhD Degree in Epidemiology, Public
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in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are seeking a computational biologist, biostatistician or bioinformatician with
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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optimisation frameworks. Proficiency in at least one scientific computing environment (e.g. Python, MATLAB, Modelica); experience with geothermal or reservoir modelling tools is an advantage. Research & Delivery
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languages such as C/C++, Java, or Python. Additional or Preferred Qualifications Should be able to take initiative, but also work well as part of a team. Excellent critical thinking and communication skills