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. The research aims to: 1) Delineate the chemical speciation and mineral phases associations of these critical metals in AMD wastes; and 2) Evaluate the implications of these associations for extraction processes
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Preferred Qualifications: A PhD or MD/PhD (or equivalent) in biological sciences (cell & developmental biology or a related field) which was awarded not more than 18 months ago. Evidence of successful
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Description: Apply Position Description Position Description Department of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing
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investigate the cell division cycle of Cryptococcus neoformans. This position requires a minimum of a PhD degree. Applicants should hold a PhD in Biology or a related field and have expertise in fungal genetics
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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-of-the-art IT infrastructure. Ideal candidates should hold a PhD in the area of Computer Science or Electrical and Computer Engineering and have strong programming skills including Python. Past work in
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. Qualifications: Qualifications include a PhD or equivalent in environmental health, epidemiology, biostatistics, or a closely related discipline. The successful candidate should be highly organized and have
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are opportunities for collaboration. Please start the filename for your cover letter and CV with your last name. This position requires a minimum of a PhD degree. Duke is an Equal Opportunity Employer committed
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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outside Duke University. Preferred qualifications: PhD (completed in the last 1-5 years or PhD candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science