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Field
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. Erath, is looking for a motivated Ph.D. graduate to perform postdoctoral research in the field of fluid-structure interactions. Funded by an NSF award, the research is experimental in nature and will
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addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program . Application Materials Required: Cover
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catalysis, and/or plasma-assisted catalysis is of significant value to participate in other ongoing projects in the lab. Experience with the design, construction, and operation of high-vacuum instruments and
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Ability to perform common office functions. Ability to frequently communicate with other individuals within the workplace. Ability to operate a computer and other office productivity machinery. The physical
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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Key Responsibilities: • Adapt internal computational pipelines to analyze high-dimensional patient datasets, including single-cell sequencing, spatial transcriptomics, clinical, and other relevant
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malignancies with a primary focus on lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics, epigenetics, clinical samples, and animal models
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environmental conditions. Our lab is equipped with state-of-the-art facilities, including multimodal laser-induced shock waves, terahertz spectroscopy and imaging, high-resolution and high-speed digital image
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, and will be making use of Penn State high-performance computing resources. He will be encouraged to interact with other students, postdocs, and faculty within the Department of Physics and related units
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)function. Our approach develops methods to interpret high-performing deep learning models to distill knowledge that they learn from big, noisy biological sequence data. Our goal is to elucidate biological