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and qualitative research methods. Disciplinary background is open within environmental governance, including but not limited to: political science, political ecology, sustainability science, human
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assessment of lymphatic flow, 2) Advancing methods for contrast-enhanced MRL, 3) Creating ideal contrast agents for MRL, and 4) generating phantom and animal models for MRL optimization and validation
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community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical computation, methods development, data
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lab in Stanford’s Psychiatry Department, led by Neir Eshel, MD, PhD. We are looking to hire curious and ambitious postdocs to join our team. Lab projects focus on the neural circuitry of reward-seeking
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applications, and participate in grant applications. Keep up to date with recent scientific advances, mentor junior trainees, and coordinate projects. Skills Developed: Immunology: acquire cutting-edge methods
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behavioral experiments using next generation custom-built hardware and software platforms Develop and implement end-to-end experimental paradigms, including behavioral training and tracking, multi-Neuropixels
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. Oversee enumerator training, pre-testing, and quality assurance protocols. Code survey into appropriate software (e.g., SurveyCTO, RedCap). Conduct field monitoring and troubleshoot real-time data
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: bacteriology, fluorescence microscopy, electron microscopy, antibiotic assays, biochemical purifications, biochemical assays such as binding assays and protein gel electrophoresis, as well as analytical methods
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to bear on the energy and security challenges facing our nation and the world. Required Qualifications: PhD in experimental condensed matter physics or related field. Experience in working with van der Waals
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience