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contributed datasets. DEPRESSD investigators publish studies on screening tool accuracy, statistical methods for IPDMA, and other methodological and meta-research studies that advance work on screening
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focus of the position is on application and advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning
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. Research experience after completing the doctoral degree is expected. Scientific competence in developing artificial intelligence methods, with proven publication record in scientific venues in the field, as
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Postdoc Position Available at National Institutes of Health The Intramural Program of the National Institute of Mental Health (NIMH) is a major research component of the National Institutes
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Technology systems, who through the development of their individual-driven research projects will combine disciplinary expertise, with interdisciplinary elements, and integrating the use of computational
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integrative methods that combine health records, molecular phenotypes, and genetic data to explore disease aetiology. This position is part of the Pioneer Centre for SMARTbiomed, a national research initiative
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proven record of leveraging state-of-the-art bioinformatic methods to explore the specificities of microbial life in hadal sediments, both in terms of novel taxonomic diversity and functional potential
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RNA-Seq data. The position involves development of computational methods and pipelines for long read RNA-Seq data, and the analysis of transcript expression, alternative promoters and alternative
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methods for studying somatic mutations at increasing scale and precision. In close collaboration with the Huang lab and others, we are 1) Developing new experimental and computational tools to identify
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first-author original research publication in a high-impact factor journal. Strong mentorship skills, the ability to guide junior researchers, and a collaborative mindset to interact effectively with