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experience in photonic device design, numerical simulation, and layout. Proficiency with relevant design and simulation tools, such as Ansys Lumerical, COMSOL, MATLAB, or Python. Hands-on experience in
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responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is
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computational methods for engineering analysis. Proficiency in scientific programming, preferably using Python, MATLAB, C/C++, or comparable programming languages. Experience with advanced sampling methods
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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engineering / technical hands-on experience soundscape evaluation Familiarity with soundscape ISO standards Good written and oral communication skills Proficiency in AI (python) programming and R programming
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materials characterization (e.g., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail
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/scholarships/nus-research-scholarship/) • Strong written and spoken communications. • Demonstrated strong research interest, skills, and experience. • Proficiency in programming languages (e.g., Python
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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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: Biochemistry Microbiome ecology Metabolic modelling Python and/or R Microbiome bioinformatics Longitudinal or temporal data analysis Microbial ecology and community dynamics This profile would suit someone with