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; and large-scale connectomic reconstruction of detailed brain circuitry. Basic Qualifications A PhD in theoretical neuroscience, physics, computer science, or related fields is required. Applicants must
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with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large part of the role will focus on supporting a
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ownership of data collection, analysis, and experimental design across several concurrent studies, including randomized control trials, large-scale surveys, and field experiments. A typical project involves
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for an exciting opportunity to contribute to a high-impact, large-scale project investigating the evolution of cephalopods and their fascinating venom systems! As a Postdoctoral Fellow, you’ll be at the forefront
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of data collection, analysis, and experimental design across several concurrent studies, including randomized control trials, large-scale surveys, and field experiments. A typical project involves
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technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word
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into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
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at the frontier of data science and empirical macroeconomics, leveraging advanced analytical techniques and large-scale datasets to generate impactful insights. The position offers a unique opportunity to work
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an expansive, global, and engaged network of primary healthcare researchers, providers, policy-makers and other stakeholders, because improving the delivery of primary healthcare is too big a job for just one
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research facilities on a vibrant campus. Basic Qualifications A PhD in (bio)statistics, computer science, applied mathematics, or related fields and demonstrated skill in quantitative research, big data