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, Award #2551586) on advancing qualitative research through human-AI collaboration. The project studies how researchers conduct human-AI qualitative analysis in authentic research environments, co-designs
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on the mathematical theory of deep learning as part of the joint NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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and in collaboration with the PI, other postdoctoral scholars, graduate students, and research staff. Performs molecular and biochemical assays (nucleic acid and protein isolation and analysis, qRT-PCR
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analysis. Our laboratory develops physiologically relevant in vitro platforms, including three-dimensional culture systems, tunable hydrogel matrices, microfluidic devices, organ-on-chip models, and
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, demonstrable experience in mass spectrometry-based proteomic analysis or in RNA sequencing, as well as a background in immunology and biochemistry; - Experience in quantitative proteomics data analysis and de
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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analysis, machine learning, mathematics of data scienceMathematical modeling and manifold learning of high-dimensional data geometry, with theoretical foundations and applications in evolutionary biology and
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bacterial growth, survival and tolerance under various stress conditions, particularly antimicrobial stress. * Performance of microbiology, bacterial genetics and molecular biology techniques. * Analysis
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will lead and participate in observations and data analysis across the electromagnetic spectrum, or will lead work on machine learning classification of optical transients. Applicants with previous