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modelling/software methods. We are seeking a creative and motivated Early Career Postdoctoral Research Fellow to join this team. This is a unique opportunity to take a lead role in eDNA modelling and software
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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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cancer therapies, including gene- and cell-based immunotherapies. You will work with state-of-the-art technologies such as single-cell multiomics, stem cell models, and nanotechnology, within a
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research investigating novel treatments for neurodegenerative diseases such as motor neuron disease, particularly through the use of zebrafish, rodent and cell culture models of the disease. You will be
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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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options for Australian farms. You'll utilise your expertise in agricultural science or farm economics to conduct whole farm systems and economic modelling. This position offers you the opportunity to work
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) in FPGA design, machine learning or a 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
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policy, systems and management, gender and health, occupational health, and public health practice. This position is to support an ARC funded project (DP250100393) focussed on developing a model of
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practice. This position is to support an ARC funded project (DP250100393) focussed on developing a model of sustainable work to enable long working lives. This project aims to build a contemporary post-covid
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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