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mental disorders, using the methodology of component network meta-analysis, on both aggregate and individual participant data. The researcher will also be involved in meta-analyses related to mental health
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for validation through experts, systematic reviews and meta-analysis. The researcher will also apply the taxonomy to conduct component network meta-analyses of psychological interventions of mental disorders
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the development of meta-optimization techniques that can automatically search for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital
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slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is the development of meta-optimization techniques that can automatically search
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, administration, management of the laboratory and the working group Teaching Maintenance and management of the working group's field and laboratory equipment Your profile Completed relevant doctoral or PhD studies
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Research, and Meta. Responsibilities: The Postdoctoral Fellows will be responsible for leading ongoing innovative research projects. Examples include: The development of probabilistic deep learning models
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experimental research line in plant-microbe interactions, in particular on plant pathogen resistance in horticultural crops, using state-of-the art approaches such as (meta)genomics, (meta) transcriptomics
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-based processing. This project will investigate event-driven learning approaches in the context of RL in an event-triggered fashion. Data efficiency will be improved by using meta-learning and pre
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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in plant-microbe interactions, in particular on plant pathogen resistance in horticultural crops, using state-of-the art approaches such as (meta)genomics, (meta) transcriptomics, metabolomics and