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Biology at Rutgers University- New Brunswick is seeking applications for a postdoctoral research position. The postdoc will be responsible for conducting interdisciplinary projects funded by the NIH
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molecules to ameliorate lipid-based diseases such as obesity and lipodystrophy. The postdoc will gain research experience in the areas of biochemistry, cell biology, lipidology, and molecular genetics by
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in digital health, fitness, and rehabilitation. Preferred Qualifications Background in machine learning/deep learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL
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of synaptic transmission in mammalian brain and human neurons derived from human tissue. In addition, the postdoc will perform molecular, cellular and/or electro-physiological experiments. The Postdoc will
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developing ADRD studies of deeply phenotyped participants at high ADRD. Bloods are collected longitudinally and assessed for different types of omics. The postdoc will work closely with the PI and a team of
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Investigator, the Postdoc(s) will be responsible for the design, analysis, interpretation and presentation of experiments regarding the study of molecular mechanisms of the regulation of synaptic transmission in
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Investigator, the Postdoc(s) will be responsible for the design, analysis, interpretation and presentation of experiments regarding the study of molecular mechanisms of the regulation of synaptic transmission in
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programs Posting Summary There is a postdoc position available in Dr. Alison Bernstein’s lab in the Department of Pharmacology and Toxicology, Environmental and Occupational Health Sciences Institute (EOHSI
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Deep technical expertise in molecular genetics with a previous understanding of neurodevelopmental disorders as well as handling and analyzing omic
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impact the economy and human well-being? Finally, how can climate and sea-level science more effectively support climate risk management under deep uncertainty? The Lab’s sea-level projections are highly