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. Requirements and qualifications Applicants should have a PhD in statistics (or related area) before starting the position. Priority will be given to candidates who have completed their doctoral degree
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privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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. Specific Qualifications for Project E To qualify for the fellowship, the candidate should hold a PhD in a relevant field such as statistics, data science, computational biology, physics, or a related
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privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and