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for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python. Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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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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Navigation. Strong research background in path planning, motion planning, and multi-robots coordination in complex environments. Proficiency in Python and C++, with extensive experience in ROS/ROS2 for robotic
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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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(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
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, or healthcare applications is highly desirable. Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal
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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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Python, R, or similar Excellent analytical and problem-solving skills Ability to work both independently and collaboratively in a team Previous research experience and publication record in a related field
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of multi-physics systems, especially acoustic problems Expertise in generative design of compliant robotic structures Proficiency in basics of programming languages such as C++, Python, and/or Matlab Strong
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experiments with z-tree, Python, and o-Tree. Experience in running computerized laboratory economic experiments. Recruiting, training, and supervising undergraduate research assistants Performing research