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components. Perform laboratory experiments on fluid/thermal components, Publish papers in heat and mass transfer and energy journals. . Basic Qualifications Must be a recent PhD graduate within the last three
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FEM technique to quantitatively characterize amorphous materials, with high spatial and temporal resolution. • You will be part of a team performing experiments to lead the discovery of key physical
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expected to: Develop and execute independent research in synthetic organic chemistry Prepare high purity probe compounds using normal phase and reverse phase separations Perform high-throughput synthetic
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high-level finite element packages such as FEniCS or Firedrake will be especially helpful. This assignment is for one year, with the possibility of renewal depending on mutual agreement, performance, and
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Research Associate position, with the possibility of extension for up to two years based on an annual basis dependent upon satisfactory performance and the availability of funding. The candidate will be
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(with some flexibility for the right candidate). Principal Responsibilities Lead and conduct heat-stress assays to assess performance variability in coral individuals under thermal stress, evaluating
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
engineers who leverage NASA’s high-performance computing capabilities to develop new Earth science remote sensing and modeling products, generate long-term downscaled environmental projections, push
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. • Mentor and guide junior researchers, fostering a collaborative and high-performance work environment. • Utilize a range of advanced laboratory equipment including Gas Chromatography (GC), PCR, HPLC
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and performing x-ray measurements at NSLS-II. Examples of target areas include (but are not limited to): (i) characterization of defects due to electromigration effects in high-current density
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. Experience working in a Linux environment preferred. Experience working in high-performance computing environments preferred. Experience working with NCBI dbGaP, TCGA, COSMIC data preferred. Training in