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developing advanced, technologically driven solutions for integrated monitoring and decision-making systems for complex structures and infrastructures. We invite applications for a postdoctoral research
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mechanisms of virus-host interaction and their translational application. The Liang lab is a multi-disciplinary and highly interactive team. The successful candidate will be expected to conduct independent and
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. The project will also include developing and applying applications in glycomics and native MS. Our goal is to characterise the structure of complex biological oligosaccharides and their site of attachment
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-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments
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Organisation Job description Postdoctoral position: ManufActuring contRol Sonicare (MARS) Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub
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The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research universities in the nation
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Internal Number: 368778 The Driscoll Lab has an opening for a Post-Doctoral Associate to start in July, 2025. Job duties will include: Work with other lab members to design, plan, and implement complex
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limited understanding of how tumors systemically impair immune responses. Meanwhile, traditional animal models often fail to capture the complexity of human immune-cancer interactions. This position