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Medicine Program at University of Nebraska Medical Center. Studies in the laboratory are focused on the design of nanofiber scaffolds for regenerative medicine. In addition, the laboratory explores
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proactive mindset Strong interpersonal skills and ease in interacting with collaborators from diverse scientific backgrounds Education and Experience Preferred Required degree: PhD in Computer Science
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laboratory experimentation with advanced characterization techniques and data analysis to study water-rock interactions, crystallization processes and metal immobilization. Main responsibilities include
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projects involve mechanisms such as lipid signaling, particle-biomolecular interactions, regulation of inflammation, and immune dysfunction. The laboratory utilizes a variety of techniques but uniquely
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are looking for a highly motivated experimental immunologist with a strong interest in neuro-immunology and tissue biology. Applicants should have: a PhD in immunology, cancer immunology, neuroimmunology
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proactive mindset Strong interpersonal skills and ease in interacting with collaborators from diverse scientific backgrounds Education and Experience Preferred Required degree: PhD in Computer Science
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. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications:. A PhD or MD/PhD (or equivalent) in biological sciences Strong research background in cell biology, molecular biology, mouse models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
downstream signaling patterns and yield important interactions for structure-based drug design. In Silico Approaches: We use the latest computational approaches (MD simulations, docking, pipeline development
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Posting Details Please see Special Instructions for more details on GW jobs website. Appointments are limited-term and are designed for those who have recently received a doctorate. Appointments are
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pressing scientific challenges of our time: understanding how biodiversity is changing in response to multiple, interacting global change drivers. The project will combine cutting-edge analyses of large