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inelastic neutron scattering to investigate magnetic order and spin dynamics. The research aims to resolve complex spin structures and correlate them with underlying interactions, contributing to fundamental
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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the time the employment decision is made. Strong background in multiphase flows, cavitation phenomena, or fluid-structure interactions. Documented experience in experimental fluid mechanics and/or reactor
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. Possible research directions include studies of ejecta structure and composition, circumstellar interaction, and pulsar wind nebulae. The candidate will also have the opportunity to participate in