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intellectually curious postgraduate trainee to join an ambitious translational cancer research program. This role offers hands-on involvement in the development of innovative cancer models, large-scale genomic
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microscopy, live cell imaging, mass spectrometry (LC-MS-MS), and flow cytometry. Successful candidate should be able to work independently and collaboratively with the team. Experience with murine models is
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associative learning. Using mouse models, fiber photometry, circuit-specific viral approaches, in vivo recordings, and a variety of behavioral assays, we investigate how infant brains encode maternal and social
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contribute to neurological disorders and cancer. Candidates eager to learn and integrate cellular models with next-generating sequencing techniques, and computational biology are strongly encouraged to apply
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sodium-responsive regulatory pathways Development of cellular models relevant to neuronal biology and neuropsychiatric disorders Collaboration with computational biologists and RNA biochemists within
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: Comparative genomics RNA secondary structure prediction Covariance models and RNA homology search methods Machine learning or artificial intelligence applied to biological data Transcriptomics analysis methods
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screening methodologies Functional genomics and molecular genetics Microscopy and flow cytometry Host-pathogen interaction studies Animal models of infectious diseases Data analysis and scientific writing
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or disease. We are enthusiastic about candidates bridging traditional conceptual or methodological boundaries, and candidates linking experimental data with computational models from a variety of organisms
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for this position will provide psychiatric outpatient services to the APT Foundation. Please apply through Interfolio using this link http://apply.interfolio.com/167834 . Create a Job Match for Similar Jobs About
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. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions or removals from vegetated wetlands, coastal systems, and inland