43 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at SUNY University at Buffalo
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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applications from candidates in Computer Science and Engineering, with a focus on a broad range of research specializations, including: Trustworthy AI and machine learning and its societal impacts Cybersecurity
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macrophages and its impacts on macrophage innate immunity. The postdoctoral associates will work in close collaboration with scientists at the Malawi-Liverpool-Wellcome Clinical Research Program in Blantyre
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analysis using X-ray crystallography, neutron crystallography, and X-ray spectroscopy approaches. • Applying computational skills to support and collaborate on AI and classical machine learning initiatives
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expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes
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cutting-edge genomics and computational analyses to investigate transcriptome, epigenome and chromatin architecture. Learn more: Our benefits , where we prioritize your well-being and success to enhance
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excellent opportunity to expand computational skillset and engage in truly interdisciplinary science. Learn more: Our benefits , where we prioritize your well-being and success to enhance every aspect of your
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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
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, epithelial cell culture, and animal models of airway disease to probe in vivo bacterial activity and their interactions with the host epithelium. The ideal candidates will have a PhD in microbiology