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in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities
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and cancer, understanding these connections allows us to gain new insights into biological concepts and disease targets. We are particularly interested in investigating the metabolic programs (e.g
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Programming, Data Analysis, Data Interpretations, Experimentation, Imaging Analysis, Laboratory Operations, Laboratory Techniques, Magnetic Resonance Imaging (MRI), MATLAB, MRI Analysis, Multiple Sclerosis
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fellow to investigate molecular mechanisms underlying lung infections (viral or fungal) and chronic lung diseases such as asthma. Research in the Chen lab is currently supported by multiple NIH R01 grants
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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integration to advance pressure injury care through multiple ongoing projects. JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated
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) Country Australia Application Deadline 27 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Sign In Create Profile Postdoctoral Research Associate I, High-Contrast Astronomy (Multiple Positions) Tucson, AZ, United States | req23540 Apply Now Share Save Job Posted on: 8/6/2025 Back
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
how medicine will be practiced in the future. Our graduate programs train students to be creative, sophisticated research scientists prepared to pursue careers focused on genetics and genomics working
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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based