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, and how brains acquire heritable adaptations for complex, learned behaviors. Comparisons between modern humans and our living primate relatives provide a way to address this question in the context
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Training Group (RTG) “Activation of anti-Microbial Effectors (ACME)” (coordinator: Dirk Schlüter, Hannover) funded by the German Research Foundation. The central aim of the program is to give highly
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interpretation will also be integral aspects of the project. Computational analysis of transcriptomics data (bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics) may also be incorporated into the project
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Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires
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in at any time. Background The School of Mathematics welcomes applications for a research fellowship in statistics to work on the UKRI Future Leaders Fellowship project ‘Computational Statistics
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the NIHR Research for Patient Benefit programme, with the aim of developing and refining a multi-component behaviour change intervention for reducing delay and increasing identification of work-related
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three years with research duties exclusively. The hired candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about six months of study, a
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems