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transport regimes, with a focus on the exploration of inhouse developed materials, and on exploring nonlinear magnonic processes triggered by microwave and spin-orbit torque excitations. The recruited person
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stacking, both high performance and (very) high density can be achieved by this concept. The mission will be to explore, understand and develop the fundamental physics of device operation. This will require
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particular, the candidate will work towards the development of skyrmionics-based neuromorphic components, such as nanosynaptic devices, taking into consideration realistic operating conditions. Details
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for brain-inspired computing. In particular, the candidate will work towards the development of skyrmionics-based neuromorphic components, such as nanosynaptic devices, taking into consideration realistic
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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
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determine the nature of spin waves in two dimensional magnets and control their transport for the ultimate goal of developing nanoscale spin-wave devices. What you will gain: This is a multidisciplinary
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-accelerated micromagnetic simulations to study and develop spin Hall nano-oscillators. Prof. Åkerman’s team currently leads a major project funded by the Swedish Research Council (VR) through a Distinguished
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engineered heterostructures with unconventional merging of functional materials to develop a new generation of sensors and quantum devices. Devices based on the synergetic combination of oxide ferromagnetic
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these nanocomposites, we are looking for a postdoc to further develop high performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core
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demonstrated spin-electric excitations through magneto-FIR spectroscopy. To expand the range and depth of these observations, we are looking to develop new molecules and study the effect of synthetic parameters