140 programming-language-" Fellowship research jobs at Nanyang Technological University
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-modal datasets (e.g., biological, imaging, environmental, or clinical data). Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g
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research Enthusiasm for applying advanced mathematical tools and techniques to applications in biophysics Good written and oral communication skills Experience in the use of programming languages and
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, or a related field. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands-on experience with
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experience in handling semiconductor wafer development Skillful in semiconductor processing techniques. Possesses good skill in programming languages, some background in device modelling is a plus. Competent
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analysis methodologies Excellent written and oral communication skills Proficiency in programming, real-time simulation with OPAL-RT, and conducting hardware experiments Self-motivated, responsible, and able
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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of deliverables. Lead the design, fabrication, and characterization of conductive polymer fibers and their integration into wearable sensing and thermoregulation devices. Programme experimental protocols, data
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large language models (LLMs) and their