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TRS test section for Chalmers test rig and implement it in the rig with supervision from research engineers at Chalmers. Perform aerothermal measurements in the test rig at Chalmers and use data
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triboelectric nanogenerator (TENG) to sustainably power ingestible medical devices. The aim is to harness mechanical energy from natural intestinal peristalsis to enable battery-free operation of autonomous
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that deliver high power density and exceptional efficiency at reasonable cost. However, most existing machines, particularly high-speed, radial-flux permanent magnet motors, are reaching their performance
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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perform research, teaching, and innovation in experimental and theoretical physics with the overall aim to benefit society. We contribute to the transition to sustainable energy via research and innovation
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operating filters. Quantify operational performance including headloss recovery, filtrate turbidity, biological stability and lifecycle carbon—using high-resolution sensor data and life-cycle assessment tools
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performance, with energy labels of E or lower. Retrofitting these homes is critical for achieving low-carbon transitions and addressing energy poverty and equity challenges. This is particularly urgent in North
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as landfill. New initiatives to create a circular flow of flat glass has the potential to largely contribute to improved environmental performance of the built environment but many challenges remain
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Preferred qualifications: Skills in neuropsychological or neurodevelopmental asessments Experience with research on cognitive tests and structural assessments of functioning Experience in clinical research
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applications from candidates who: have an outstanding record of prior performance. have completed a Masters by Research or other significant body of research, such as an honours research thesis or lead