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community. Located in the heart of New York City, we foster strong research collaborations with several top technology, media, and financial firms including Google, Meta, IBM, Microsoft, AT&T, Bell Labs, NEC
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community. Located in the heart of New York City, we foster strong research collaborations with several top technology, media, and financial firms including Google, Meta, IBM, Microsoft, AT&T, Bell Labs, NEC
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well as robust pilot studies, novel qualitative studies and high-quality and informative systematic reviews or meta-analyses, together with editorials, commentaries, debates and letters. Negative findings from
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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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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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partners in West Africa • Publish high-impact scientific articles and participate in project reporting and dissemination activities Your profile • PhD in microbial ecology, molecular microbiology, microbiome
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understanding of the field. Requirements: Applicants are expected to possess a PhD degree in related field such as Economics/Health Economics/Public Health/Statistics. The grade of appointment will be accorded
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leading philosophers. We offer a range of undergraduate courses in subjects including metaphysics, epistemology, philosophy of language and mind, ethics, meta-ethics, philosophy of science, logic, critical
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included in systematic reviews and meta-analyses. Project details Research has predominantly examined aerobic training programmes with a recent systematic review only including three RCTs involving
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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