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to combine experimental data analysis with phenomenological studies and contribute to the LHCb simulation framework, working closely with QCD phenomenologists at Monash. This role forms part of the final
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11th October 2026 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow within Renewable Energy
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(DFT) simulations and develop machine learning potentials to investigate zeolite-related systems. The role will focus on delivering research projects and promoting research excellence in this area. The
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, and establish relationships among pressure, saturation, capillary pressure, and relative permeability. Required Qualifications PhD in Petrophysics, Geomechanics, Petroleum Engineering, Chemical
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, Biomedicine, Biology, Biochemistry, Pharmacy or related areas, and be enrolled in a PhD programme or in a non-degreeawarding course. I.II - The non-degree-granting course must be related to the type
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to be able to move toward computational devices (HPC-simulations, and Synchrotron, MOKE and MFM experiments) based on nanomagnetic metamaterials. Intermediate the research focus is toward basic
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people who discover them The Opportunity Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims
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. Explore different approaches to building data-driven models to simulate farming systems to generate holistic indicators of systems performance, moving beyond simple indicators of productivity. Apply models
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) postdoctoral fellowships (10 positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth sciences, life sciences
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electrochemical and CO2 removal research. Electrochemical process on interface phenomena MOF synthesis, testing under different conditions Simulation of scaled up process. Interface with machine learning group