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Field
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of bird genomes, working on some of the best-studied avian models (Mauritius parakeet, ringneck parakeet, red-crowned parakeet, and orange-bellied parrot). The PhD candidate will study data from
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
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models. The project’s key objectives are to: 1) Identify critical indicators relating to ecosystem health and resilience; 2) Incorporate indicators into DBN models to simulate how ecosystems respond
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that regulate cellular metabolism which have potential therapeutic application in a wide variety of human disease conditions. In support of this, the compounds you generate will be evaluated by other team members
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Description Understanding and modelling the spatio-temporal variability of radiative and thermal conditions in cities is essential for large-scale solar integration and climate-resilient planning
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development of preclinical models (PDXs, PDOs) and in vivo preclinical studies Experience in proteomics: mass spectrometry Additional Information Benefits Labour conditions: Full-time position: 40h/week
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monitoring will also be integrated into this PhD. Thermal prediction models are currently implemented on a Field Programmable Gate Array (FPGA), while the thermal PI controller (which will be further developed
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commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. Job Summary This is a part-time
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working with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the