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periods. Excellent oral and written communication skills and be competent with Microsoft Office applications including Word, Excel, GIS. You will be willing to acquire or develop competence in XML. We
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spectrophotometry equipment will be provided, and experience is not necessary. Willingness to learn and work with custom developed Artificial Intelligence (AI) tools and technologies, prior experience is not
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. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
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recently completed the strategic expansion of our academic staff, and we continue to invest in teaching and learning excellence . As part of our collegiate community , you will demonstrate academic
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studies, serious games, gamification, interactive media, AI in games, player behaviour, or games for learning and health). • Produce high-quality research outputs, including peer-reviewed journal articles
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an interdisciplinary team. Stay informed of developments in the field to maintain and enhance professional expertise. Perform lab maintenance, including equipment upkeep and supply ordering. Teach techniques to train
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at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work
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opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports flexible and hybrid working arrangements
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
background in reinforcement learning, diffusion models, and geometric deep learning. 3. Candidates with experience working with antibody (or other molecule or material) design will be considered a significant
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in partnership to achieve excellence in research, education and translation of knowledge into policy and practice. We’re seeking an enthusiastic mathematical modeller interested in learning new skills