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PhD Opportunity in XR and AI: An AI analytics workbench for protein structural characterisation Job No.: 674528 Location: Clayton campus Employment Type: Full-time Duration: The CSIRO Next
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The Analytics for the Australian Grains Industry (AAGI) initiative is a five-year strategic partnership to enhance the profitability and global competitiveness of the Australian grains sector
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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machine learning frameworks like PyTorch. The candidate should demonstrate strong analytical abilities, an eagerness to learn and solve complex problems, and possess effective collaboration skills
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, analytical science, and reactor engineering. The outcomes of this research will be disseminated through high-impact scientific journals and will contribute to the development of practical, low-emission routes
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in biomedical engineering, mechanical engineering, or a related field. Experience in finite element modelling, biomechanics, or orthopaedic research is desirable. Strong analytical and problem-solving
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expects to develop an analytical description of electrolyte flows required in various microfluidic applications such as magnetohydrodynamic (MHD) micro-stirring and micro-pumping. About Swinburne University
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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
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electrochemistry at strategically fouled electrodes as a platform for creating a new class of electro synthetic and analytical technologies. We will exploit the synergy between enantioselective insulator-confined
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity