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for drug target discovery, computational biology, advanced bioinformatics, and novel AI algorithms for identifying drug targets in complex diseases such as chronic kidney disease, idiopathic pulmonary
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bioinformatic approaches will be developed to integrate these datasets in order to identify spatial and temporal interaction maps. Ultimately, this work aims to identify mechanically linked molecular pathways and
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. Training activities will include analyzing existing datasets and generating new molecular and metabolic data using advanced sequencing technologies and bioinformatics methods. Throughout the project, you
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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findings in internal meetings and scientific publications Basic Qualifications PhD degree in neurobiology or a related field Prior experience with bioinformatic analyses, viral engineering, neuroanatomy
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perform bioinformatic data analysis on proteogenomic data generated across high-throughput profiling platforms from multiple cancer types. 2) Establish a comprehensive clinico-genomic database, web resource
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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Cellular and Molecular Therapeutics Branch, NHLBI, NIH | Bethesda, Maryland | United States | about 2 months ago
biology techniques, lentiviral vector technologies, animal models of hematopoiesis, bioinformatics or next-generation sequencing (NGS) analysis. The ideal candidates will be highly motivated, intellectually
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and
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scientific publications. Desirable experience with transcriptomic analysis, bioinformatics tools, plant pathology systems, and engagement with industry stakeholders or funding bodies. About UQ As part of