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acquiring and analyzing powder X-ray diffraction data, including phase identification and qualitative and quantitative phase analysis using Rietveld refinement. Experience acquiring and interpreting
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research utilizing genetic, molecular, and microscopy-based approaches to investigate parasite development and fertility. Responsibilities include experimental design, data analysis, preparation of
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). Demonstrated experience using GitHub or similar platforms for version control, code management, and research data archiving. Demonstrated ability to collaborate effectively within interdisciplinary research
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Foundation Model development using the sPHENIX silicon tracking system to improve collision data reconstruction as part of a collaborative Genesis Phase I project with Brookhaven National Laboratory and MIT
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for designing and conducting experiments, analyzing and interpreting data, preparing manuscripts for publication, and presenting research findings. The successful candidate will be expected to
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single-cell data in a high-performance computing environment. Assist in the mentorship and supervision of more junior lab members. Interpret experimental results and prepare reports, presentations, and
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microscopy. Direct experimental expertise in these techniques is not expected. Experience with scientific programming, quantitative data analysis, numerical calculations and simulations using tools such as
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(arbitrary waveform generators, FPGA-based quantum controllers, time taggers) and with scientific programming, quantitative data analysis, and simulation using tools such as Python, LabVIEW, MATLAB