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., Python, PyTorch). Practical experience in at least one of: driving simulation, spatiotemporal AI models, or traffic safety analysis. Strong publication record is an advantage. Excellent English
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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photonic design Proficiency in Ansys Lumerical, Tidy3D, Python, MATLAB, and GDSfactory Strong written and oral communication skills Ability to work independently under strict timelines with excellent
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learning/analysis. Prior research experience and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python
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a related field Experience in python is required Experience in flow chemistry Experience in reactor design is beneficial Experience in process control and PAT Knowledge and interest in closed-loop
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Requirements: Doctoral degree in Chemical Engineering, Chemistry, Computer Science or a related field Proficiency in python and software development Experience with laboratory automation Skilled in database
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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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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• 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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, or a related field. Proven experience in large/small language model development, fine-tuning, or LLM-based applications. Strong programming skills in Python, and familiarity with key libraries such as