30 computer-programmer-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at Duke University
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academic record and thrive in a collaborative multidisciplinary research environment. The candidate should be able to, and be excited about, working in a varied lab group setting; plan and conduct
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of the following tasks: 1) Laser-based instrumentation design, fiber coupling, and optical characterization. 2) Experimental investigation and computational model simulation of laser-induced bubble dynamics and
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designing, executing, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed
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application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and
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growing portfolio of trauma, critical care, nutrition, ethics, and clinical informatics research. This position will coordinate complex, multi-component studies that include prospective patient enrollment
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international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
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necessary animal handling for physiological relevance. Collaboration: Working within a multidisciplinary team to integrate structural data with electrophysiology and computational modeling. Choose Duke
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science methods application and dissemination Demonstrated proficiency through previous developed analytical codes with R Language for Statistical computing, and qualitative analysis using NVivo
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, the Gerber Foundation, and the Burroughs Welcome Fund. This role is for a computational scientist to lead transformer/foundation-model work on FoodSeq data (training, synthetic profile generation, and
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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the