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, with a focus on arboviral diseases (e.g., dengue or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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. The ideal candidate will have a recently awarded PhD in a relevant field and a strong track record of productive research. This position offers an exciting opportunity to lead an independent research
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Support general laboratory operations Required Qualifications Minimum of a PhD or Doctorate in Neuroscience, cell/molecular biology, or Pharmacology Self-learner and motivated. Strong quantitative abilities
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smectite, sepiolite, and layered double hydroxide. -Summarize the MD data to find the optimal mineralogy properties need to maximize the binding efficiencies of the minerals for the toxins. -Summarize
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programs to optimize efficiency and productivity. Perform Techno-Economic Analysis (TEA) of bioprocesses to evaluate their final product costs, process economics, and identify areas for improvement
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD degree in physics or related discipline completed within the last five years
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 4 days ago
conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is