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Field
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developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware
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your experimental skills to provide understanding of complex multi-phase phenomena and optimize industrial processes. With your pioneering mindset and hands-on experimental experience, you will be able
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energy storage system utilizing hydrogen in the form of liquid organic hydrogen carriers (LOHCs), coupled with innovative biomass conversion. This approach enables the direct transfer of hydrogen from
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centre led by SINTEF Energy Research. FME NorthWind advances research and innovation for the sustainable development of wind energy, with particular emphasis on balancing technological deployment with
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indicators relevant to the operation of intelligent buildings. A central research challenge will be developing an energy-efficient embedded sensing platform that operates within the computational constraints
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on these insights, you will design and optimise discharge sequences to improve operational efficiency, reduce energy consumption, and minimise wear. Finally, you will translate your modelling results into practical
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and optimize methods to measure neuronal activity and morphology. Combine the two methods to detect the cell type and neuronal physiology in one experiment. Computational & Data Analysis Apply advanced
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localisation and sensing algorithms that achieve near-GNSS accuracy while improving robustness, energy efficiency, and spectrum utilisation in integrated terrestrial and non-terrestrial networks. Position You
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. Lab Background: We are a high-energy, highly passionate translational neuroscience lab focused on understanding the role of synaptic plasticity in neurologic disease and how this can be directly
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transfer when the placenta does not function optimally, and how fetal cell transfer may influence the mother’s health later in life. In particular, the project asks whether fetal cells transferred