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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
. The digital twins will allow students to perform virtual experiments. ACCESS will make digital twins for ESS instruments on imaging (ODIN), inelastic scattering (BIFROST), small-angle scattering (LOKI) and
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background, and are ready to contribute to research of the highest international standard. At Aarhus BSS, you will become part of an active and international research environment within the fields of business
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are scarce and in high demand. Our graduates will be ready for roles at cloud and datacentre operators, energy companies, grid operators, telecom companies, and in academia. As a MSCA Doctoral Candidate you
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focus on competency development and career clarification and want to make your opportunities transparent. On our website , you can find information on all types of scientific positions, as
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to make infrastructures and production more effective and energy-efficient, with algorithms that autonomously learn the behaviour of technical and socio-technical systems and make optimal decisions without
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food and health for the benefit of society. The vision is to make a difference by generating future prosperity through research into food and health. The institute works to prevent disease and promote
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. The position includes, among others, preparing scientific publications, presenting results at conferences and workshops, and participating in project meetings and activities. You will also make a limited
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provide insight into how ports and their partners work to make new strategic roles operational in practice. Theoretically, it will contribute to understanding how strategic collaborations are developed and
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participating in project meetings and activities. You will also make a limited contribution to teaching or supervision at Aalborg University, for example by supervising bachelor’s and master’s students working
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through a system, and using them to make AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something