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Field
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to conduct geospatial analysis of available primary sources to define prioritization of historical events and provide a defined search grid and survey plan to locate prioritized underwater loss incidents
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
network and determine the biological tumour properties responsible for this signature. Subsequently, based on these findings, the role of the electrophysiological context in GBM biological properties
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
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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interests in English dialects, multilingualism, psycholinguistic experimentation, computational modeling or cognitive network analysis, or sociolinguistics is strongly desired. More information about the
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in the collection, documentation and analysis of biosamples. Analyse and record clinical data to aid the design of the research data. Prepare papers for journals / presentations either in-house or
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis. This role offers an excellent opportunity to work at the interface
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of Cell and Developmental Biology at the University of Michigan Medical School and faculty member of the Michigan Neuroscience Institute, Single Cell Spatial Analysis Program in the Biosciences Initiative
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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization
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analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level collaboration between the Digital Signal Processing Group (DSB), at the Section