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. Experience, Skills & Qualifications: Editorial experience, with demonstrated knowledge of processes and ethics in academic publishing. A PhD (or equivalent) in any area of life or physical science, though a
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data/online research. Qualifications EDUCATION AND EXPERIENCE REQUIREMENTS: Doctorate (PhD or MD/PhD) in immunology or area directly related to field of research specialization. Ability to work semi
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excellence in research and teaching is required all with the ability to professionally engagement with a diverse faculty, staff, and students across the university and externally are required. Good English
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-breeding plant physiology, quality and marker trait associations. Evidence and excellence in research and teaching is required all with ability to professional engagement with a diverse faculty, staff, and
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, molecular/cellular and cancer biology techniques (LM and PD ). Commitment to work in a highly competitive field (LM, PD and PhD ). A demonstrated ability to write scientific papers/grants and prepare high
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in the international scientific community. Attending conferences and visiting research institutions. Commission and edit Reviews, and write Editorials Experience, Skills & Qualifications: A PhD (or
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meetings, take part in various committees, and assist in recruitment activities Required Qualifications PhD degree in Chemistry or Material Science from a recognized program, with a strong record of research
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and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
teams, including ability to collaborate with remote sensing experts, computer scientists, data scientists, and engineers. Ability to develop and implement new AI techniques for remote sensing applications
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Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
large datasets and ability to effectively manage and analyze big data. Ability to work with cross-disciplinary teams, including ability to collaborate with remote sensing experts, computer scientists