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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical
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post-doc will lead the project activities related to this work, including refining analytic approaches, conceptualizing important research questions, implementing data analysis best practices, analyzing
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field. • Strong background in organic synthesis and/or medicinal chemistry. • Proficiency in modern analytical techniques. • Demonstrated ability to work independently and as part of a collaborative team
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clinical, computational, or developmental sciences relevant to mental health. Preferred Qualifications: Strong analytical, organizational, and communication skills. Demonstrated ability to work independently
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candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization of the mass spectrometry-based proteomic data generated in our
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for diverse social and homeostatic states. The lab uses a combination of circuit-based strategies and custom engineered designs to investigate how social and non-social salient information is encoded in neural