54 phd-mathematical-modelling-ecological-modelling Postdoctoral positions in Australia
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; inclusion and diversity; and respect and integrity. We seek a Postdoctoral Research Associate who demonstrates these values and brings: a PhD (or near completion, with thesis submitted) in a relevant
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-aneutronic fusion energy reactor concepts. For HB-11 Energy, the results will directly inform the company’s technology roadmap and contribute to balance-of-plant modelling to assess economic viability
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a Postdoctoral Research Associate to join the team and contribute to this initiative. Working closely with materials modelling experts, you will have a primary role in planning experimental materials
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at the University of Sydney has an international reputation in the field of turbulent combustion, combustion modelling and advanced laser diagnostics. Specific research issues include the combustion of bio-fuels
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in Astrophotonics Research Translation who has: a PhD or equivalent experience in Photonics/Physics or an Engineering background with a focus on electro-optical/photonic instrumentation demonstrable
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and reputation of the Faculty of Medicine and Health (FMH) and the University of Sydney through research, mentorship, and stakeholder engagement. About you PhD or BHons in Biomedical Science, Computer
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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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international research collaborations disseminate research findings About you: an awarded or near completed Ph.D. in a relevant discipline (e.g. Medical Physics, Radiology, Computer Science, Physics, Mathematics
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has: a PhD (or near completion) in child Psychology strong experience working on clinical trials in child psychology experience in managing complex, longitudinal data focused on child mental health
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required: PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics