37 condition-monitoring-machine-learning Postdoctoral research jobs at SUNY University at Buffalo
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Bioinformatics and/or Cheminformatics. Experience working in computational drug discovery, particularly multiscale applications. Experience working in Python and Bash. Understanding of machine/deep learning topics
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machine learning algorithm to improve the modeled surface meltwater in the Goddard Earth Observing (GEOS) model. Advocating and adapting the model based on collaborator feedback is key to the success
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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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work-life effectiveness. We support your growth and development through our career coaching and training department and we qualify as a public service loan forgiveness organization. Learn more about our
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work-life effectiveness. We support your growth and development through our career coaching and training department and we qualify as a public service loan forgiveness organization. Learn more about our
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infection models, multi-omic approaches and data analysis, and/or anaerobic bacterial culture. Learn more: Our benefits , where we prioritize your well-being and success to enhance every aspect of your life
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-oriented environment, and train other lab members as needed. Be willing and able to quickly learn new skills as needed Learn more: Our benefits , where we prioritize your well-being and success to enhance
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position. The successful candidate will be driving cutting-edge research into textile fiber recycling sorting technologies using spectroscopic and hyperspectral methods coupled to machine learning techniques
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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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biology, and RNA biology. The primary goal will be to elucidate the mechanisms of gene regulation by characterizing multi-component machines responsible for RNA processing, modification, and decay. Under