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fragments (e.g., JavaScript, Python, C#) to augment platform logic and address limitations Preferred Educational Qualifications An advanced degree from an accredited institution of higher education in a
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, computational biology, data science, computer science, electronics, biostatistics, applied mathematics, physics, biomedical engineering, or related fields). Basic programming skills, including MATLAB and Python
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. Additional Considerations Experience in education, instructional design, or workforce development; programming experience (Python, JavaScript, or similar); experience building AI applications or automations
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. - Hardware (opto-electronics) and software - Optical alignment - Model and biological sample imaging - Microscopy knwoledge - Optical imaging (theory and experiment) - Programming (Labview, Python/Matlab
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records at the TRUST platform (https://trustplatform.sg/) . We are inviting a motivated Research Fellow to join our PRECISE-SG100K collaboration to work on the dataset (https://www.npm.sg/phase-ii-precise
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-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent
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high-level object-oriented programming and scripting languages, such as Python and/or C++ Experience developing embedded systems for consumer and aerospace industries. Understanding of SQL database
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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systems (Windows, macOS, Linux). Basic exposure to scripting or query languages (e.g., Python, PowerShell, Bash, or log query languages) sufficient to read or modify existing scripts or queries. Basic