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communication skills and fluency in English are required. Ideal candidate will be adept at planning, prioritizing, multi-tasking, organizing, following through, and thinking on his/her feet. Knowledge of Python
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methods (FEM/FVM) and scientific computing Proficiency in Julia, C++, or Python and experience with HPC environments Interest in geophysical applications, fracture modeling, or multiphysics simulations
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
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, or a related field. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands-on experience with
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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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++/Python. Excellent communication and collaboration skills. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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gdsfactory. Knowledgeable in MATLAB and Python is necessary. Knowledgeable in Ansys Lumerical FDTD, MODE, INTERCONNECT, CML COMPILER, MULTIPHYSICS We regret that only shortlisted candidates will be notified
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such as Python We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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studies, QTL studies, colocalization, Mendelian Randomization) Proficient in R, Python, Linux/Unix Command over commonly used genetics (e.g., PLINK, GCTA, FUMA, variant predictor tools) and metagenomics
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Excellent publication track record on top tier conferences/journals Proficiency in programming language Python Excellent verbal and written communication skills We regret to inform that only shortlisted