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Field
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framework for identifying optimal study designs. At La Trobe, The Research Fellow will be a member of the Infectious Disease Modelling Group in the Department of Mathematical and Physical Sciences (School
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research aimed at quantifying or modelling the state and function of soils across spatially variable landscapes. Applied experience in using statistical and mathematical tools to analyse and interpret soil
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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students. SPS is responsible for the research training of over 120 PhD students. SPS is research intensive with internationally recognized expertise in Human Factors, Mathematical Psychology, Industrial and
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other project partners, and to take advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research
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at conferences with a leading contribution. Skills Essential: C1 Evidence of experience with application of advanced mathematical modelling/probabilistic modelling/machine learning/active inference
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the mathematical and statistical properties of the model in order to achieve higher agreement with biological assumptions and better interpretability. The candidate will have strong expertise in generative AI
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model and fostering an inclusive working culture. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer science
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responsibilities The Research Fellow/Senior Research Fellow will: Lead GBD research projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction and
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development plan no later than one month after commencement of the postdoctoral period. Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO What skills are important in this role? The Faculty of Mathematics