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CO2 removal research. The role will focus on: Electrochemical process on interface phenomena MOF synthesis, testing under different conditions Simulation of scaled up process. Interface with machine
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, computer graphics, and embodied AI, including physics-based simulation, character animation, motion synthesis, and learning-based control for humanoid systems. Key Responsibilities: Conduct independent and
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to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow
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will contribute to all stages of the research process, including literature review, conceptual framework development, data collection and preparation, AI and machine learning model development
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backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments
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- and the people who discover them The Opportunity Join the Faculty of Science at Monash University’s School of Physics and Astronomy and contribute to cutting-edge research in experimental condensed
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lengths, with emphasis on contact engineering, access resistance reduction, and threshold voltage control. • Execute full process flows in the NUS cleanroom, including lithography, etch, deposition, and
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the assignment, Knowledge of English Eligible destination country/ies for fellows: OTHER Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process
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prediction of regional climate and extremes using hybrid physics-AI models. About the project/work tasks There is a growing need for subseasonal-to-seasonal (S2S; 2 weeks to 12 months) predictions of regional
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technologists, physicians, trainees, and research staff Performing other responsibilities, as required Qualifications Successful applicants will have: A PhD in engineering, physics, or related discipline