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, Environmental Engineering, or a closely related field. A minimum of one year of experience in target and non-target analysis using LC-MS/MS or LC-HRMS working with emerging contaminants such as PFAS, opioids and
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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clinical research studies, including production, quality control and metabolite analysis. The successful candidate will design and develop small organic molecules amenable to incorporation with carbon-11
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. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software development background with programming
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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clinical research studies, including production, quality control and metabolite analysis. The successful candidate will design and develop small organic molecules amenable to incorporation with carbon-11
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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with plants. ● Experiment design and statistical analysis skills. Preferred Qualifications: ● Experience with plant lipid analysis. ● Prior experience with gas chromatography/mass
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with plants. ● Experiment design and statistical analysis skills. Preferred Qualifications: ● Experience with plant lipid analysis. ● Prior experience with gas chromatography/mass