35 deep-learning-phd "Computer Vision Center" Postdoctoral positions at SUNY University at Buffalo
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protocols, mentoring others in the lab, presenting research outcomes, and publishing. The ideal candidate will have a PhD in biochemistry, microbiology, molecular biology, or a related field, and have
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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting
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plans Develop methods or research that incorporate highly specialized training in chemistry Conduct experiments and collect data Analyze, evaluate, and present findings in professional journals Learn more
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/microdevice fabrication, or cellular and tissue mechanobiology. Learn more: Our benefits , where we prioritize your well-being and success to enhance every aspect of your life. Being a part of the University
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contributions to the department and the field to add to your research and teaching portfolio. Appointment will be for one year. Learn more: Our benefits , where we prioritize your well-being and success
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to the success of our funded project. Duties include but are not limited to: Teaching: Teach one class per year (in the PPE wheelhouse, broadly construed). Service: Help spearhead many of our community engagement
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developing historical and future climate scenarios—including counterfactuals—and integrating them with health surveillance and related data to estimate climate-attributable risk under Deep Uncertainty
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will have a PhD in aquatic or landscape ecology, parasitology, environmental sustainability or conservation, or environmental health, with expertise in implementing research in rural and/or global field
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outcomes, and publishing. The ideal candidate will have a PhD in microbiology, biochemistry, molecular biology, or a related field, and have demonstrated research productivity. The lab is committed
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. Analyzing data and write papers for publication. Presenting research findings at appropriate conferences and venues. Mentoring undergraduate research assistants. Learn more: Our benefits , where we prioritize