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Field
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opportunities to develop research profile, to travel to give demos and presentations, and to write academic papers. Candidates should hold a PhD degree in Computer Science or other relevant discipline. The
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across the Respiratory Science disciplines with a vision to eliminate lung disease by prevention, early diagnosis and improved treatments. We are leading the field in understanding mechanisms of disease
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mathematicians, computational scientists, and discipline scientists. Should be able to interact effectively with members of a multidisciplinary team. Collaborative skills, including the ability to work well with
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, solid phase extraction, etc.). Hands-on experience with different chromatographic separation and mass spectrometry methodologies for analysis of biomarkers, or small molecules. Education: Ph.D. in
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with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and
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role in technology improvements that will power the novel field-cage-integrated large-area photon detectors proposed for DUNE Phase 2. In addition, the successful candidate will be involved in
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; Alshareedah et al. Nat Physics 2024; Posey et al JACS 2024). In this project, we will define sequence-encoded conformational preferences, driving force for phase separation and emergent properties of other
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, if desired, to successful candidates. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html
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Plant Molecular Biology or a related subject. Experience Experience in conducting high quality academic research. Demonstrable ability to write material of a quality commensurate with publication in
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fluent in English (written and spoken), hold a PhD degree within epidemiology and have a track-record within the field of observational research, preferably within pharmacoepidemiology. Experience with