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focusing on the roles of alkaline ceramidase 2 (ACER2) in chemotoxicity and cancer chemoresistance in Dr. Cungui Mao’s laboratory in the department of Medicine and Cancer Center at Stony Brook University
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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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, 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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, 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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: The Postdoctoral Associate will assist the Principal Investigator Dr. Cungui Mao associated with the Cancer Center and Department of Medicine. The Mao lab identified the alkaline ceramidase (ACER) family consisting
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: The Postdoctoral Associate will assist the Principal Investigator Dr. Cungui Mao associated with the Cancer Center and Department of Medicine. The Mao lab identified the alkaline ceramidase (ACER) family consisting
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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