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assays) and high-resolution imaging approaches and quantifications from both mouse and human brains; mouse brain regional dissections; western blotting; and experiments in various in vitro culture systems
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to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging, Histopathology, Analytical Chemistry, Flow Cytometry, etc. The position is based in the Gliniak lab
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literature relevant to sea-level projections and/or coastal climate risk; · Strong coding skills, including experience in Python; · Excellent organizational and communication skills. Familiarity with high
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mechanisms of various brain disorders using murine models and iPSC-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science
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of Public Health faculty. The fellow would be expected to participate in conferences and publish high-quality journal papers. If of interest, opportunities are also available for teaching experiences with
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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on projects through expert knowledge of rail and transit engineering · Writes technical reports and contributes to preparation of journal articles and prepares conference presentations · Updates related
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human patients. The applicant should have strong background in neuroscience and/or cell biology, biomedical engineering or computer science. The applicant should be able to perform small animal surgeries