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have as a minimum: Essential Extensive lab experience in nanobiotechnology or a related field, ideally working with self-assembled proteins/peptides and/or lipids (model cell membranes, vesicles, lipid
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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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focused on advancing personalised and innovative approaches to addiction care. This dynamic and collaborative position works closely with a multidisciplinary team of neuroimagers, computational modellers
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infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools
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collaborative team evaluating animal models in psychiatry research Be part of building a global resource that supports discovery and innovation The Opportunity The Psychiatry Monash team have 2 positions
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and synthesis of new materials. You should have a PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical
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We are seeking a Senior Research Fellow (Clinical) to lead research that supports the co-design, implementation, and evaluation of innovative, multidisciplinary team (MDT)-based primary care models
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of transitions in both domains. The successful candidate will be expected to develop testable hypotheses that can be applied to new model systems, such as bee colonies, in collaboration with the project team
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
candidate will be expected to develop testable hypotheses that can be applied to new model systems, such as bee colonies, in collaboration with the project team. The research will be conducted in close
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures