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related to experimental finance and asset markets. Programming experiments with z-tree, Python, and o-Tree. Experience in running computerized laboratory economic experiments. Recruiting, training, and
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Banking. Your skills and attributes for success: Expertise in one or more of the following areas: Machine Learning, Reinforcement Learning, or LLM orchestration. Strong programming skills in Python and
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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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and oral communication skills Proficiency in python programming languages and lab test skills Ability to work independently and develop solutions under strict timelines We regret to inform that only
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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methods. Prior work in trustworthy AI (e.g., fairness, robustness, explainability, or AI ethics) is highly preferred. Publications in top-tier AI/ML venues are a strong advantage. Proficiency in Python
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programming skills in C/C++, python etc. Knowledge on Software Engineering and Cybercrime are plus. Good writing skills for writing proposals, reports and publications in good academic journals. We regret
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Science; (b) a good command of at least one programming language (e.g. Python); (c) a good command of English and Chinese; and (d) good teamwork and interpersonal skills. Applicants are invited
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-on experience with fluid systems. Introductory Physics/Fluid dynamics experience. Proficiency in Python, Arduino C, and MATLAB. Experience in CAD software. Preferred Qualifications Extensive experience with fluid
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· Undergraduate degree in engineering, computer science, information systems, or other related field is required · 1 – 3 years of experience with Python programming required