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and convex optimization. Prior experience in software development in machine learning systems is highly desirable. Proficient in Python and ML frameworks such as PyTorch. Independent, highly analytical
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience
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analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross
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). Degree must have been received within the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Strong
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/scholarships/nus-research-scholarship/) • Strong written and spoken communication skills. • Has proficiency in programming languages (e.g., Python, MATLAB) and experience with data analysis tools
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observations and field data collection. Strong competence in data preparation/analysis/visualization with Python, R, or a similar scripting and visualization language. Experience with high performance computing
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super-resolution microscopy (e.g. STED, SIM) or single-molecule tracking - knowledge of a scripting language or data analysis tools (e.g. Python, R, or similar) What we offer: - a modern
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scientific discipline or equivalent experience is required. Additional Qualifications ● Should have a demonstrated proficiency in R and/or Python, or related languages. ● Experience with and solid understanding
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with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases