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approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have excellent communication skills and will to collaborate with
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. Although there is a clear synergy between fatigue damage and corrosion, most fatigue prognosis models do not explicitly consider the role of the environment, which is usually reduced to obscured fitting
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/or application areas such as the ones listed below: CROSS-DISCIPLINARY RESEARCH Nanomaterials &Nanofabrication Nanocharacterisation Modelling and simulation APPLICATION AREAS OF RESEARCH Health Energy
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
will be trained is some of these different skills: Micro/nanofabrication Simulation/design of optical components Integrated photonic circuits Programming skills in Python, C/C++ Theory of electromagnetic
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These models are technology platforms that facilitate drug discovery and fundamental research. Our research is funded by Australian Research Council. This project aims to develop bio-microfluidic
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April Kartikasari via magdalena.plebanski@rmit.edu.au and april.kartikasari@rmit.edu.au . A copy of electronic academic transcripts A CV that includes any publications/awards and the contact details
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, sense amplifiers or memories Implement and verify circuit layouts through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Develop behavioural models for circuit verification