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). The candidate will be working on developing state-of-the-art methodology in clinical prediction modeling, including novel uncertainty assessment method (Value of Information analysis), as well as Machine Learning
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expert guidance on analytical strategy, model selection, and integration approaches across multi-omics datasets, exercising professional judgement in assessing and refining analytical methods. Analysis
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guidance on analytical strategy, model selection, and integration approaches across multi-omics datasets, exercising professional judgement in assessing and refining analytical methods. Analysis: Conduct
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(CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health decision-making, and advancing national capacity for future
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Strategy. The Zukunftskolleg is an Institute for Advanced Study for early career postdoctoral researchers in the natural sciences, humanities and social sciences. It is a central component of the
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, including data preparation, model training, evaluation, and reproducible pipelines. Proficiency with modern recommendation and retrieval methods relevant to patient facing assistants, including bi encoder and
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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through the Canadian Emergency Department Research Network (CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health
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or related field obtained within the last five years. Proven ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self-management, and detail-oriented approach
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human-systems processes include climate adaptation science and its methods and analyses considering vulnerabilities, decision-making contexts, and/or policy pathways for a low-carbon, sustainable, and