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Field
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of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world. The Data, Analytics, and Research Computing team (DARC) of the Stanford Graduate School
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scientist, the Research Scientist/Engineer 4 (RS/E 4) will apply data mining techniques, perform statistical analysis, develop visualization techniques, and build automated tools that can assist with
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methodologies underlying spatial data, high-dimensional and big data (e.g., data from wearable devices, electronic health records), Bayesian statistics, and learning algorithms as novel data analytical tools in
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be responsible for developing and maintaining websites for various departments and colleges using the University's CMS system. The role includes implementing innovative SEO strategies, ensuring brand
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an active interest in contributing to our undergraduate game development program. Finally, we are looking for candidates focused on algorithmic theory with an emphasis on improving and expanding
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, array data, propagation data. Develop processing algorithms and assess their performance. Interpret results. Implement research grade software and analysis tools in Matlab including underwater
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sequencing and imaging data to facilitate the paper figures of lab members. Candidate will train on the labâ™s fundamental algorithms and run them in a collaborative manner with other team members to generate
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of existing applications to meet specific scientific project needs; support the development of data models, databases or software applications; produce, present and discuss high quality data analysis reports
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new code in python at PEP8 standards for solving problems toward creating neural connectome maps). Algorithm development initially will involve solving problems such as: (1) base calling of in situ
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figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative