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Field
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optimization, and be proficient in Python and modern ML/RL libraries. Experience with robotic control systems, laboratory automation, simulation platforms, or interfacing software with hardware is highly
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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
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, e.g., Python, Java, or C++ Strong written and oral communication skills and able to present results clearly. Open to fixed-term contract More Information Location: Kent Ridge Campus Organization
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, generative models, or equation discovery — rather than traditional statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch
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imaging hardware, as well as programming skills in Matlab, LabView, Python, or a C-based language. Experience in neuroscience research and evidence of creative, original work in hardware or software
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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field - Strong quantitative and statistical background and related software and programming language proficiency (e.g., R, Python, Mplus, or similar) - Familiarity with big data, Linux systems, and remote
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the reference section of the application. Please upload additional documents (e.g. published papers, software tools) to the “other documents” tab as needed. Preferred Qualifications: Water remote sensing, Python
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Computer Science, Biomedical Engineering, Statistics, Biomedical Sciences, Electrical Engineering, or a related quantitative field Strong programming skills (e.g., Python, R, or similar) Demonstrated research
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) Strong computational skills (e.g. coding in python, bash, matlab) Demonstrated aptitude for research Problem solving ability Ability to work in a multidisciplinary team Ability to work without close