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employment. We are specifically interested in a candidate who has expertise in sustainable production of field-grown vegetables. Development of this research area is a focal point and the candidate’s
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understand how these factors influence the accuracy of outbreak origin dating, patterns of virus-host associations, and the evolutionary signals underlying the emergence of novel pathogen variants. Structural
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, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes for vanadium extraction and purification, with the goal
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
and Environmental Engineering at the University of New Hampshire. The successful candidate will be responsible for developing and coding workflow processes and designing experiments for multisensory data
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other strategies. Due to the broad nature of the available research positions, please indicate if you have experience with any of the following: standardized assessments, standardized surveys & interviews
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fixed term until 30 June 2028. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your
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from ticks to mice, host-pathogen interactions, periplasmic flagellar biosynthesis, assembly, and regulation, and cyclic-di-GMP signaling system (https://microbiology-immunology.ecu.edu/md-motaleb
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
. Collaborating with CA-SSN’s diverse ecosystems will provide invaluable input to NASA’s data development process, ensuring that data products are broad enough to support a range of questions while also being
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, computer-aided drug design or a related field. Track record of scientific innovation, as demonstrated by scientific publications, patents, relevant presentations, or software code. Demonstrated experience in
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, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses