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for multiuse purposes, addressing issues on climate change adaptation and high-versus low intensity forestry. We use empirical and process based modelling, with input data from the National Forest Inventory and
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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career, and you feel it relevant, let us know about it in your application. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We
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using functional 2D materials. • Organic synthesis and typical characterization methods, as NMR, FTIR, MS, EA, UV-vis and fluorescence spectroscopy. • Methods for 2D materials processing and
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
application process, please contact the Department for People Operations, Success, and Opportunity at (252) 328-9847 or toll free at 1-866-489-1740 or send an email to employment@ecu.edu. Our office is
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proactively to problem solve Application Process To apply, please upload: A covering letter/supporting statement Your CV The closing date for applications is 12 noon on Tuesday 26 August 2025 Interviews will
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their applications. If you are an Indigenous applicant and require support during the recruitment process, please reach out to James McKay, Indigenous HR Lead at james13@torontomu.ca . Toronto Metropolitan University
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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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proactively to problem solve Application Process To apply, please upload: A covering letter/supporting statement Your CV The closing date for applications is 12 noon on Tuesday 26 August 2025
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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems