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team at Swinburne University’s Department of Mechanical and Product Design Engineering. This PhD will provide a unique opportunity to conduct impactful research with real-world industry applications
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operation mode can have a large influence on performance and lifetime. Understanding the degradation mechanisms and their dependence on operation parameters is therefore highly important, not only
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and brain tissue mechanics to improve stroke treatment. Stroke is a leading cause of death and disability worldwide, making advancements in its diagnosis and treatment highly relevant. Computational
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Project description We are a highly motivated international team of researchers at the Molecular Neurogenomics group (Jordanova Lab) and the Computational Neurobiology group (Malysheva Lab
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parameters/mechanisms and model outcomes by varying the parameters simultaneously over a large range of values. Once the simulations are performed, the output variability can be apportioned onto the input
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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matrix mechanics, particularly in chemoresistance. Notably, the biological aspects of chemoresistance and drug efficacy screening will be the responsibility of the lab’s postdoctoral researcher, who will
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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, including research, teaching, outreach and administration Requirements: university degree (Master, Diploma) in Mechanical Engineering, Electronic Engineering, Computer Science or related fields provable
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and MSc education, result of an English test (if you attended a non-English taught MSc program), a publication list (if applicable) and contact details of two referees. Since only three documents can be