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Field
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closely related field. Proficiency in MATLAB or Python. Prior experience with Neuroimaging analysis and/or medical image analysis. At least one journal publication as first author. Preferred
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
multiple genome alignment to identify gene loss in plants and investigating its links with species divergence and adaptive traits in various plant clades, e.g., Orchidaceae, Poaceae, Solanaceae, Brassicaceae
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neurorehabilitation interventions during these windows. The individual selected for this position will contribute to multiple projects carried out in the lab, including an NIH-funded study examining the feasibility
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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older adults, participating in multiple projects that employ advanced functional magnetic resonance imaging (fMRI) techniques to investigate brain network mechanisms underlying diverse grief trajectories
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. A
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for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and publish results. Excellent written and
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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to support three (3) postdoctoral scholars as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in
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field Experience working with cryogenic thermal-vacuum systems Experience developing electrical systems and data acquisition with Python or LabView Preferred Qualifications: Expertise in planetary