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highest ranked candidates, with a score above a threshold of 7 out of 10 (>70%), will be invited to a remote evaluation phase for interview. Phase 4. Interviews (2 weeks): Conducted by the Interview Panel
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of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine
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perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
fellows to work on a project funded by the US Department of Agriculture under the supervision of Prof. Conghe Song. One post-doc will focuse on remote sensing of vegetation, and the other will focus
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. The research includes development of growth models, crop production management with remote sensing tools and spectral techniques, and agronomic studies. Ongoing projects involve the use of optical and radar
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. Reference letters will only be requested for shortlisted candidates. For an informal discussion about the post, please feel free to contact Dr Greg Ashton by emailing gregory.ashton@rhul.ac.uk. For queries
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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partners in industry to develop the next generation of our in-situ sensing technologies to investigate carbon cycling in deep sea environments. Specific tasks may include but are not limited to: Testing