1,824 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" Fellowship positions
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required by the research component of the project. Independently analyse complex data sets. Write and review research papers, present research outcomes, conceptualise new ideas and develop plans
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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an emphasis on technology, data science and the humanities. We are seeking accomplished and highly motivated Research and/or Senior Research Fellows to join an Industry Alignment Fund - Pre-Positioning (IAF-PP
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, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based
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) for more information about the project’s rationale and recent outputs. Role Summary The successful candidate will design and drive a high-level strategy to position DAWN’s findings on deep uncertainty in
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to visit your local library, or local Department of Labor. Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position
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and the microbiome affect tissue fitness or cancer outcomes. We utilize state-of-the-art experimental and computational approaches to integrate genetic, epigenetic, metabolism and microbiome data
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 30 days ago
foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses
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, Shin-Etsu. Applicants must hold a PhD (or close to completion) in a relevant plant or crop science field, have experience growing plants under axenic and/or glasshouse conditions, and possess strong data