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analysis and machine learning methods applied to protein structure determination using single-particle cryo-electron tomography (ET). The candidate will contribute to the design, development, and
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with Dr. Kate Hoffman to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis
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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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backgrounds and lead annual fieldwork activities for sample collection. Opportunities to travel to conferences and project meetings are also available. This position provides numerous opportunities
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career, with background in psychology, behavioral pharmacology, and/or neuroscience. A strong quantitative background and/or experience with fMRI data analysis is preferred. Duke offers a highly
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decisions focusing mainly on interpretable machine learning and its applications. The candidate must be an expert in music generation and Schenkerian analysis. The candidate will be responsible for working
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on the topic of materials, and numerical modeling. Research will be conducted on infrastructure materials and urban heat modeling. The successful candidate will contribute to an ongoing effort on
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, including literature review, experimental design, data analysis, collaboration, and dissemination of findings through conferences and publications. Apply for fellowships and awards, and provide mentorship
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team to unravel the mysteries of membrane ion and lipid transport and their roles in various diseases. Minimum Requirements: PhD in biochemistry, biophysics or cell biology Preferred Qualifications
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, United States of America [map ] Subject Areas: Climate Science Atmospheric Sciences Quantitative Analysis Appl Deadline: (posted 2025/05/12, listed until 2025/06/23) Position Description: Apply Today is the last day you can