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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
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various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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them with existing approaches. Required knowledge Python programming Machine learning background Image analysis Video analysis
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analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., EEG, eye-tracking, pupillometry, fNIRS) Interest or training in technology law, digital regulation
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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally