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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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engage in personal development opportunities to support your career development. You should have a PhD in nutrition, public health nutrition or a related field (i.e. nutrition related) and minimum
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Emergency Coordinators, Incident Commanders, Responders and Observers in a timely fashion. Geo-AI can be classified as an emerging field which attempts to capture, process and model real-world environments
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codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn
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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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will support this mission by building and applying modular, physics-informed frameworks to explore design tradeoffs, evaluate novel process concepts, and inform early-stage technology development 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