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with additional models for continental ice and vegetation components under increasing atmospheric CO₂ concentrations. Perform climate simulations exhibiting tipping behaviour of one or multiple tipping elements
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multiple smaller/lighter elements. This could make them suitable for a range of applications that could include: (i) line-side cantilever gantries for railway electrification; (ii) transmission tower and
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skills. We are especially interested in candidates who can contribute, through their research, teaching, and/or service, to the multiplicity and excellence of the academic community. This position requires
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one of the most complex human systems. To fully understand the etiology and pathology of systemic diseases, Digital Twin Innovation Hub is developing technology capable of integrating multiple
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motivated Research Engineer skilled in computational modeling and basic laboratory techniques to join our dynamic laboratory team. We are working on multiple tissue engineering projects for improving human
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
with researchers, students, and industry partners. Strong sense of responsibility, reliability, and ability to manage multiple tasks and deadlines. Adaptability and willingness to learn new tools
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autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project covers the aspects of sensing, detection and classification in radar-based perception. Key
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, sustainability science, or a related field. Experience in data analysis using scripting languages such as Matlab, Python, and R. Experience working with earth observation data and visualisation of data in maps and
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, wave speed anisotropy, wave mode conversion, multiple scattering. We are presently recruiting a postdoctoral researcher for 15 months in our lab. The postdoctoral researcher will develop innovative
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understand the etiology and pathology of systemic diseases, Digital Twin Innovation Hub is developing technology capable of integrating multiple mathematical approaches to fully represent and predict