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looking for a Postdoctoral Research Associate who has: a PhD in a quantitative field (e.g., physics, mathematics, computer science) interest and experience in simulating and analyzing multivariate time
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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as required About you PhD or PhD under submission in biomedical engineering, dentistry or relevant field a developing network of academic, industry and professional partners and stakeholders a
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collaboratively as part of a research team, through an understanding of the subject matter within the discipline. Your key responsibilities will be to: design and fabricate in vitro/microfluidic model systems
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interdisciplinary research efforts process and analyse functional neuroimaging data (fMRI, EEG, etc.) to extract meaningful insights into brain function. About you a PhD in Neuroscience, Computational Neuroscience
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in cyber-physical systems and AI-driven sensing and control for large-scale systems, the successful candidate will contribute to the development of adaptive decision-making architectures for large
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University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights into brain function. Apply state-of-the-art software tools and
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conference presentations. provide informal mentoring and guidance to junior team members, including undergraduate and PhD students foster a positive and inclusive workplace culture that values diversity
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(e.g., OGTR, ethics) apply and manage human and animal ethics approvals/modifications, and GMO approvals. About you You will have: PhD (or equivalent) in a relevant field such as cancer biology
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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a