32 postdoc-computational-biomedical-engineering Postdoctoral positions at SUNY University at Buffalo
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Appointment Term Salary Grade E.89 Posting Detail Information Position Summary The laboratory of Dr. Daesung Shin at the Jacobs School of Medicine and Biomedical Sciences -SUNY, Buffalo NY, is seeking
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Appointment Term Salary Grade E.89 Posting Detail Information Position Summary The laboratory of Dr. Daesung Shin at the Jacobs School of Medicine and Biomedical Sciences -SUNY, Buffalo NY, is seeking
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related to Earth Science, Polar Science, Glaciology, Climate Science or Civil Engineering Preferred Qualifications experience in data compilation and analysis experience with large dataset (observations
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should have a Ph.D. degree with a background in biomedical or biological Sciences or biochemistry or related disciplines. Preferred Qualifications Experience with small animal studies, cell culture and
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of Engineering and Applied Sciences Posting Number P250020 Posting Link https://www.ubjobs.buffalo.edu/postings/54990 Employer State Position Type Professional Appointment Term Term Salary Grade SL1 Posting Detail
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biomedical science or related field with published experience. Preferred Qualifications Mammalian cell culture, PCR, immunoblotting. Animal (mice) working experience including drug treatment, tumor measurement
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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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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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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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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