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. Potential Projects Develop robust proteomic assays (e.g. proximity-labeling, phospho, or structural proteomics) towards mapping spatiotemporally resolved interaction and signaling networks of GPCRs. Apply
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learning, expanding our lab’s core strengths in behavioral and computational approaches to studying social cognitive development. Mentorship Structure The postdoctoral fellow will be mentored by Professor
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also help with grant writing to get practiced in the skill of academic fundraising that will be vital for their future career. Mentorship Structure The postdoc will be a member of IPRL in
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environment across multiple teams, with the ability to prioritize effectively. Being highly self-motivated to leverage the distributed supervision structure. Must be able to work well with academic and industry
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study of ECE and policy impacts. Strong data analytical skills using advanced statistical methods (such as mixed effect models, multilevel modeling, structural equation models, longitudinal modeling, etc
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the Department of Pediatrics, Division of Pediatric Critical Care Medicine at Stanford University. The Tawfik lab studies the use of electronic health record metadata in identifying structures and processes
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documented capabilities using a variety of simulation and optimization techniques. Familiarity with electric power grids and rate structures is highly valued, as is experience with grants management and
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nested data structures Required Qualifications: PhD in Psychology, Public Health, Statistics, Biostatistics, Computer Science or related field Strong programming skills in Stata, R or Python Experience
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individuals who have a Ph.D. or are nearing completion of their Ph.D. with experience in cell biology, structural biology, protein biochemistry, or neurobiology to join a highly interactive, international and
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factors. Integrate data from structured (e.g., lab results, medication records) and unstructured sources (e.g., clinical notes). Work closely with clinical experts to translate findings into actionable