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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable
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contribute to high‑impact publications. About You You will have, or be close to completing, a PhD in materials science, engineering, or a related discipline. You should bring strong practical experience in
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum
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simulations on High Performance Computing, the ability to analyze and organize large datasets or model outputs, knowledge of Unix/Linux, and experience with commonly used software and protocols in
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that helps drive translation of energy efficient data storage and neuromorphic computing innovations to commercial success across a range of sectors. The Post You will explore the dynamic processes that occur
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 7 days ago
to work within one or more of the following areas: Disease Presence and Disease Impact Has disease presence become more or less predictive of disease impact? How do the timing and patterns of disease
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to better understand the interaction between gut microbiota and host, this research project aims to characterize how specific dietary supplements can affect the composition of the gut microbiota and the
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cells within the prostate tissue are most susceptible to toxic heavy metals, their impact on cancer growth and associated aggressive disease and health disparities. Ultimately, the successful candidate
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition
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field observations by including the local impact conditions on the blade with the cumulative damage analysis. Moreover, a predictive tool will be developed that allows site-specific analysis based