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aligned with the lab’s research objectives 2. Optimize and troubleshoot experimental protocols, including in vivo mouse models, molecular assays, imaging, and dissection techniques 3. Analyze, interpret
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models and generate alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a
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but are not limited to: Conduct literature reviews and identify synthetic pathways for modified nucleic acid bases (DNA and RNA) Optimize synthesis protocols and scale-up procedures for producing
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biodegradation of biomass-derived materials, engineering microbiomes to optimize end-of-life material processing and circular resource recovery, as well as leveraging plant-microbe interactions to enhance material
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alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a comprehensive
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. Building on this work, we seek to harness the power of this new tool to optimize its therapeutic use for a wide variety of conditions including epilepsy, neuropsychiatric disease, movement disorders, chronic
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/ML for (a) human-autonomy teaming, (b) autonomous navigation & control, (c) supply-chain optimization, (d) remote sensing, (e) cybersecurity in autonomous aviation. These pillars align with AAE’s
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that optimizes outcomes for children with neurodevelopmental disorders and their families. Diversity and inclusion are central to our lab’s mission, and we encourage applications from candidates who will
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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) applications in the power grid. • Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python and/or Matlab