42 parallel-processing-bioinformatics Postdoctoral positions at Duke University in Ireland-University-Ranking-2024
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) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical analysis of supply
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consent; collecting and processing biospecimens; and assisting with clinical data entry. Because communication with patients, families, and clinical care teams is central to many of these activities
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use of isotopes, chemicals, infectious agents, animals, human subjects, and the like. Comply with all applicable University and Department of Surgery policies and procedures. Choose Duke. Join our award
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neurophysiological signal processing techniques. Experience with quantitative EEG analysis methodologies. Strong publication record or evidence of scientific productivity through manuscripts, abstracts
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Position Description The Signal Inference, Information and Learning (SIIL) Group is seeking a Postdoctoral Researcher to perform research in the area of statistical signal and array processing with
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) in pancreatic cancer. This will include studying the role of integrin alpha-6:laminin and neurotrophin cell signaling interactions in this process. Test the efficacy of integrin alpha-6 blockade
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cryo-EM workflow, including sample preparation/freezing, data collection, processing, and atomic model building. Biochemical/Biophysical Characterization: Managing protein engineering (cloning
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mice) approaches. Aid in the analysis and interpretation of that data Participate in manuscript preparations and revisions, and present data. Choose Duke. In Duke Orthopaedic Surgery, we aim to be
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Duke. In Duke Orthopaedic Surgery, we aim to be the global standard of excellence today and develop the leaders of tomorrow in orthopaedics and rehabilitation research, education, and patient care. We
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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the