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peer-reviewed journals and conferences. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear
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peer-reviewed journals and conferences. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear
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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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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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in core methods of machine learning/artificial intelligence. ● Experience with data warehousing and building large, curated datasets with protected health information, suitable for training large
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in core methods of machine learning/artificial intelligence. ● Experience with data warehousing and building large, curated datasets with protected health information, suitable for training large
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of neuroscience, chemosensation, motor control, decision making, learning and memory and ingestive behaviors. The incumbent will provide training on specific specialized skills and research methods, and will
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of neuroscience, chemosensation, motor control, decision making, learning and memory and ingestive behaviors. The incumbent will provide training on specific specialized skills and research methods, and will
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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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, ITLC, MALDI) as well as familiarity with antibody or peptide conjugation methods to allow facile radiolabeling with radiometals (can include: 89Zr or 177Lu or 161Tb, and/or 225Ac). Experience in running