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Field
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statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch or TensorFlow, and comfortable working with large, complex climate datasets in
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potential flapper skate egg-laying sites. The postholder will also generate high-resolution maps and reproducible analytical workflows in R, Python, and GIS platforms. The role involves close engagement with
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critical evaluation to current methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and
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and retrieval methods relevant to patient facing assistants, including bi encoder and cross encoder architectures and retrieval augmented generation. Strong programming skills in Python and deep
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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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: - Past experience (or academic background) with low, medium, and high-power photovoltaic systems; - Academic background in operations research.; - Knowledge of Python and MATLAB Script programming
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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