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analyse complex data from emerging genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven
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genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven questions. Our overall aim is to
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scientific research and strive to find science-based answers to critical questions concerning the risks and potential medical benefits associated with cannabis and its derivatives. We are also dedicated
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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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to find science-based answers to critical questions concerning the risks and potential medical benefits associated with cannabis and its derivatives. We are also dedicated to translating the knowledge we
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and include supporting research design and implementation; overseeing data collection and analysis; interacting with internal (postgraduate fellows, research staff based in our affiliated country
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-developing and conducting research projects and studies, writing peer-reviewed articles, and formulating new research questions for future analysis. We are looking for individuals with a background in data
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, with a particular focus on native species reforestation in high-density agricultural landscapes. The primary outcomes of this analysis will include: A peer-reviewed publication and complementary white
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(Febrile Infection-Related Epilepsy Syndrome), integrating biospecimen collection, patient outcomes analysis, and translational research. This unique collaboration between Yale and the VA provides a dynamic
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, or a related field. Strong background in clinical laboratory techniques related to Andrology, with a demonstrated ability to perform advanced & extended semen analysis techniques, sperm function assays