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and one or more of its application domains: life and medical sciences, earth sciences, energy systems, or material sciences A Masters degree with a strong academic background in mathematics
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particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design
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. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and statistical multivariate methods to extract spatio-temporal spike patterns. Finally both results will be linked and
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analysis of laboratory assay readouts, or processing and analyzing transcriptomics data (bulk or single-cell RNA-seq). Learning Objectives: Under the guidance of a mentor, the participant will have the
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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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of Engineering and Physical Sciences, recognising excellence in championing employment of women in the field of science, technology, engineering, and mathematics. We offer a range of family friendly, inclusive
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championing employment of women in the field of science, technology, engineering, and mathematics. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff
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Throughout your participation, you will have the opportunity to advance your skills in laboratory techniques, methods development, data analysis, and scientific communication. In addition, you will participate
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Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy. As the second oldest land-grant institution in the state of Arkansas, the mission of this No Excuse University