43 computer-vision-and-machine-learning Postdoctoral positions at SUNY University at Buffalo
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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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: 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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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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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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development through our career coaching and training department and we qualify as a public service loan forgiveness organization. Learn more about our benefit packages . About The University at Buffalo
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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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using Pioneer-seq and genomics assays (e.g., ChIP-seq, ChIP-exo, MNase-seq, HiC, RNA-seq) Analyze high-throughput sequencing data and contribute to computational modeling of TF binding Outstanding
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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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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and