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Field
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of epidemiological modelling and data analysis C2 Up-to-date knowledge of epidemiological modelling approaches C3 Knowledge of relevant programming languages for model development, for example Java, R, C++, Julia C4
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Python, Java, or C++, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, FLOWER). Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and on-premise cloud platform such as
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communication skills Proven publication record in privacy, security, blockchain, and trust related conferences and journals Be familiar with the following programming languages: C/C++, Python, Java, and GO Ability to
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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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community. Requirements: 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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. 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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. Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.
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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