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students and working effectively in a team-based research environment Proficiency in common computational chemistry software and coding techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more
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health, behavioural, or social science datasets. Proficiency in Python and/or R, and familiarity with open access AI/ML libraries. Track record (or strong potential) of peer-reviewed publications
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libraries (e.g. Python, TensorFlow/PyTorch, Scikit-learn) Demonstrated experience in applying machine learning or data-driven methods to physical systems, preferably in the context of fusion research Proven
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publishing high-quality research papers in top-tier conferences and journals. Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems). Good written and oral
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., MatLab, Python, Modelica, C, ForTran, etc. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data acquisition and analysis Good written and oral communication skills Ability to work
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: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiar with high-performance computing (HPC) environments and
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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
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programming language would be valued (e.g. Python, Matlab…) Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research. We
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well as with a team. He/she is preferred to have experiences in: Microfluidic design and fabrication MatLAB and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM