169 coding-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at Nanyang Technological University
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of relevant research experiences or equivalent Prior experience in working with embedded systems is required. Prior experience with coding and evaluation of cryptography algorithms, specifically Post-Quantum
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on implementation/experimentation, maintain best practices for coding, safety evaluation, and data handling. Expectations: high research ownership, strong experimental rigor, proactive problem-solving, clear
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optimization Collaborate with product, research, and business teams to translate complex requirements into scalable solutions Mentor and technically guide engineers, conduct code reviews, and set engineering
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. Familiarity with industrial products’ standards and certifications, grid connection codes of different countries, etc. Good written and oral communication skills Proficiency in power electronics circuits, field
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categorical methods for describing and reasoning about modern AI systems. Formulate and verify mathematical properties of AI systems using rigorous, algebraic and code-based methods. Apply the developed
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to projects by performing medium-level coding tasks, assisting with technical challenges, and supporting the development process. Compliance Audits: Participate in audits to ensure compliance with both internal
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tools, APIs, RPA, or low-code / no-code platforms. Data analysis, reporting or visualisation. IT systems support hardware, AV or digital display technologies. Prior experience in a library or academic
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research takes place at the boundary of quantum optics, particle waveshaping and nanomaterials. Read more about our work at our group website https://sites.google.com/view/ljwgroup . Key Responsibilities
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of process and functional documentation as part of governance and audit requirements. Support low code workflow configurations, where necessary. Qualifications Diploma/University Degree in
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multimodal foundation models is preferable. Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc. Proven research ability as evidenced through a portfolio of