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improving the security of modern computer systems. To do that, we often build novel analysis techniques to uncover previously-unknown attack surfaces and when appropriate we design and implement new systems
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analysis, 30% - Analysis of scRNAseq data analysis, 30% - manuscript preparation, 20% Qualifications Required Qualifications: - PhD in Neuroscience - Experience in manipulations of mouse renal nerves
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independent origins of aquatic locomotion. 2) Phylogenetic and Evolutionary Analysis: Use phylogenetic comparative methods to test whether limb reduction in aquatic lineages follows a constrained developmental
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. Specifically, we are looking for Postdoctoral scientists to perform microscopy-based neural recordings in behaving flies, computational analysis, and, if interested, neuromechanical simulations or robots driven
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations
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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
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the sensitivity and information content of cell-free nucleic acid analysis, including ctDNA detection at very low tumor fractions and cfRNA-based readouts of tumor and host biology. A second arm applies these
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NMR studies of intact bacterial cells, cell walls, and extracellular matrices, as well as industrially relevant polymers and catalysts; Structural and compositional analysis of functional amyloids
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: ● Power module packaging and integration. ● High-density power converter design/prototyping, topology/loss analysis (including magnetic losses), thermal/EMI analysis. ● EMI emission and filter
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. Research activities will consist of literature reviews, case analyses, stakeholder interviews, and the collection and analysis of primary and secondary empirical data from local communities in which public