18 modelling-complexity-geocomputation Postdoctoral positions at University of Sydney in Australia
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ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to apply
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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to optic nerve degeneration. Our research spans cutting-edge imaging technologies, drug discovery from small molecules to gene therapy, metabolomics, and experimental models ranging from human neurons
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, Psychology, or a related field. strong background in computational modelling and/or functional neuroimaging techniques. proficiency in programming languages commonly used in neuroscience research (e.g., Python
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sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track record of publications in leading international scientific journals (Q1
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has: a PhD (or near completion) in child Psychology strong experience working on clinical trials in child psychology experience in managing complex, longitudinal data focused on child mental health