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open source geospatial packages under OSGeo; Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial information systems, agro-informatic applications, crop modeling
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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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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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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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. 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
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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