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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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vibrational spectroscopy (Dr Andras Gorzsas, Science for Life Laboratory (SciLifeLab) group leader, https://www.umu.se/en/staff/andras-gorzsas/ ). Project description The research project concerns method
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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are looking for a postdoctoral researcher to join the ERC Pandora project team and work in collaboration with Karin Sigloch (Oxford University). Your work will involve the detailed analysis and design of
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approach combining: • The implementation and optimization of environmentally friendly extraction processes, • A fundamental understanding of the associated inhibition mechanisms, and • Life-cycle analysis
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aerodynamic, vibration, and endurance testing campaigns. Assist in assembling and calibrating morphing-wing UAV prototypes. Methodology: Design and Simulation: ABAQUS, SolidWorks, ANSYS, or COMSOL for topology
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for low-frequency railway vibrations—bridging experiments, modelling, and sustainable railway innovation. Interested? Job description TU Delft, in collaboration with ProRail and Cohere Consultants, invites
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the duties. The research tasks involve participation in epidemiological research projects examining the relationship between environmental exposures (air pollution, noise, light at night, green spaces) and
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to understand the temporal variations in solar and cosmic background noise measured by the various detectors comprising the instrument, to relate them to solar activity that occurred during the mission, and to
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of the real-time feedback system for resonator–external force coupling - Measurement campaign using an ultra–low-noise optical detector - Data analysis and interpretation within the framework of stochastic