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in this role, we are looking for candidates to have the following skills and experience: Essential criteria Medical degree (MBBS, MD, or equivalent) and PhD in Public Health, Epidemiology, Digital
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, health service and applied research, meta-analysis and evidence synthesis, prevention and early intervention, psychological approaches, psychopathology/ phenomenology, neuroimaging, real world data
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but
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://www.nature.com/articles/s42256-021-00368-1 ) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4 ). The research is computational in nature but
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, PhD supervision, attending project meetings, presenting research results at conferences and workshops, and managing milestones and deliverables linked to MATISSE. Qualifications requirements
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Your Job: You will work on the development of (meta)data extraction tools from electronic lab notebooks You will create tools for data transformation and integration from electronic lab notebooks
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and quantitative data collected on research projects Conduct literature reviews, systematic reviews, and/or meta-analyses on topics related to research agenda Present research and practitioner and
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and energetic constrains ammonia-oxidizing and methane-oxidizing microbes exhibit under oxygen depletion (and while producing oxygen) including single cell activity assays. Applicants should have a PhD
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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of aligned experience, with the last 2-3 three years in the AI/ML arena, is required for consideration An overall combination of equivalent experience may be considered. Masters and PhD degree holders in