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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, C, Matlab, …) Self-driven, highly
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on machine learning Experience in time-series data analysis Proficient in coding languages, such as C, C++, Fortran, and Python Strong publication record Entry level candidates are welcome to apply The College
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stakeholder engagements and respond to evolving technical needs Job Requirements: A strong background in power systems, energy modelling, or grid optimisation Proficiency in GUI development (e.g. using Python
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. Proficiency in basics of programming languages such as matlab and Python. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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, dynamics, robot modelling and control engineering Experience in mobile manipulators and industrial robots Programming languages/libraries: MATLAB, C++, Python, OpenCV Competent in mechanical design Entry
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gdsfactory Knowledgeable in MATLAB and Python is necessary Knowledgeable in Ansys Lumerical FDTD, MODE, INTERCONNECT, CML COMPILER, MULTIPHYSICS Prior experience in the above will be a bonus We regret to
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simulations (LAMMPS, GROMACS). • Strong background in statistical mechanics and Python scripting (PyTorch/JAX for ML applications). • Ability to independently design and execute research projects, with a track
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions
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: Proficiency in Python and major deep learning frameworks such as PyTorch or TensorFlow Familiarity with transformer architectures and large language models (e.g., BERT, GPT) Experience in building, training