14 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at Duke University
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. (Note: Search committee will screen applications as they come in and must continue screening ALL applications until position is filled, regardless of where the search committee is at in the review process
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Duke University, Electrical and Computer Engineering Position ID: Duke -Electrical and Computer Engineering -POSTDOCYIRANCHEN [#30336] Position Title: Position Type: Postdoctoral Position Location
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motivated individuals to join our dynamic team as Postdoctoral Associates. Scope of Work: • Lead the design and synthesis of novel chemical entities. • Optimize reaction conditions and processes
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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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journal clubs. · Assist in figure preparation for manuscripts and presentations · Maintain a scientific record of any experimental plans and processes performed · Perform other related duties incidental
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the study of how cellular processes are coordinated during development and regeneration. The Duke Center for Quantitative Living Systems (QLS Center) provides unique training opportunities in quantitative
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learning and image processing techniques for estimating the onset of arterial disease. 2)Implementation of denoisers as priors for the solution of inverse problems. Implement code in PyTorch and other
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to treat neurological disorders, including epilepsy, movement disorders, pain, addiction, and neurodegenerative diseases. Contribute to groundbreaking research with real-world impact. Key Responsibilities
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Associate will work closely with Dr. Salter (PI) and be involved in all aspects of the research process. Research conducted within SPARCL will focus on the bi-directional relationships between collective