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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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models to enhance the detection of online narratives. The successful candidate will be appointed to a two-year fixed-term, research-intensive position supported by ASCA’s EDT program on synthetic media and
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. The objective of this project is to explore how Physics-Informed Neural Networks (PINNs) could enhance the detection, classification, and interpretation of weak and noisy signals in complex environments
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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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this position, contact: Dr Mariana Caetano Senior Lecturer, School of Animal and Veterinary Bioscience M:0421 357 283. E: mariana.caetano@adelaide.edu.au You'll find a full position description and/or
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information For a confidential discussion regarding this position, contact: Taryn Giles Senior Talent Acquisition Officer P: +61 (8) 8313 4803 E: taryn.giles@adelaide.edu.au You'll find a full position
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: Professor Kishan Dholakia Internal Grant-Funded Researcher (E), School of Biological Sciences P: +61 420 350 347 E: kishan.dholakia@adelaide.edu.au You'll find a full position description and/or selection
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information For a confidential discussion regarding this position, contact: Taryn Giles Senior Talent Acquisition Officer P: +61 (8) 8313 4803 E: taryn.giles@adelaide.edu.au You'll find a full position
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of Physics, Chemistry and Earth Sciences E: carl.spandler@adelaide.edu.au You'll find a full selection criteria below: (If no links appear, please try viewing on another device) Selection Criteria_Grant Funded
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of Adelaide E: volker.hessel@adelaide.edu.au You'll find a full selection criteria below: (If no links appear, try viewing on another device) The University reserves the right to close this advertisement before