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. Required Qualifications: A doctoral degree (PhD, MD, or equivalent) conferred by the start date. Proficiency in R/Python Experience with scRNAseq, and/or spatial proteomic/transcriptomic data analysis Growth
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completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Korean and English are required, and
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completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Japanese and English are required, and
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to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g., epidemiology, applied mathematics, statistics, or network science) by
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). Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering, or related fields. Specific inquiries about the position may be
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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: -PhD in relevant field (weed science, agronomy, ecology, plant science, etc.) Continued employment in this position is contingent upon availability of funds. Please attach the following to completed
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Experience: PhD in reproductive biology, cell and developmental biology, genetics, or similar field Molecular biology experience. Animal research Conducting statistical analyses. Preferred Education and
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minimum qualifications at the time of hire. PhD in Computer Science, Artificial Intelligence, Human-computer Interaction, Computational Linguistics, Machine learning, Biomedical Informatics, or related
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signature preservation. A PhD in geology, planetary science, or a closely related field is required. Experience in reflectance, emission, or FTIR spectroscopy is preferred. The position is available