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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
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are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of synthetic genomics and synthetic biology, as
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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. Strong programming skills (R, Python, C++ etc.). Excellent written and oral communication skills. Required Application Materials: Cover letter describing your interest in applying to the lab. Curriculum
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that contributes to a high-impact global program with a mission to create a healthier world by addressing lead contamination at the source. Project Unleaded conducts policy-relevant research that positively impacts
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novel immunotherapeutic strategies for solid tumors. Our research spans both mechanistic and systems-level studies of cytokine and receptor signaling, T cell programming, cancer cell intrinsic immune
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science, or related programs with an interest in population health measures to apply. The scholar will join a vibrant and growing community at Stanford looking at the health impacts of environmental changes
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field is required. The candidate must have demonstrated proficiency in machine learning, natural language processing, and working with large-scale health datasets. Strong programming skills in both Python
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culture, cell phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R
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describing your background, programming experience, and research interests, 2. Curriculum vitae, 3. Contact information for three references, 4. (Optional but encouraged) Copies of 1-2 authored publications