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transport engineering, maritime transport and management, computer science, or a related field from a good university; Excellent programming skills, such as Python, C++, Java, Julia, or other competent
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. neuroimaging, time-series signals, clinical records) for predictive modelling and decision support. Proficiency in programming languages such as Python (and/or Java, C/C++), with hands-on experience using AI
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research methods (e.g., interactive Qualtrics surveys; longitudinal surveys; ESM; surveys with integrated third-party services); Familiarity with programming (e.g., Python, C++, Java); Familiarity with agent
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related fields. Proficient in common programming languages such as Java, C/C++ and Python. Experience in developing and implementing Machine Learning and AI algorithms. Good written and oral
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modelling. Applicants must have good skills in programming (e.g. Python, R, Java Script) Experience (for example a master project or internship) working with snow or the cryosphere is a requirement
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; for example, a Ph.D. in social psychology with no experience in engineering or computational approaches would not be acceptable. Experience with programming (Python, Java, Javascript, PhP, and others) Training
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that includes an opportunity for public engagement during their fellowship and to participate in the regular activities of the CSRS (e.g., daily informal meetings over coffee and tea, weekly public lectures
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permitting); to take advantage of the private office space provided in the centre; and attend the regular activities of the CSRS (e.g., daily informal meetings over coffee and tea to discuss topics related
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community. Requirement: PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like
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. Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.