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digital learning environments combined with repeated survey measures. A willingness to engage in interdisciplinary collaboration and teamwork. Proficiency in English as the working language of
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, networking, and signal processing. You have at least intermediate knowledge of machine learning algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or digital
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language training at a basic level (A2) As a PhD Candidate at NTNU, you will have access to employee benefits . Diversity Diversity is a strength, and at NTNU we aim to be an employer that reflects
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of the generated EUV light [Torretti, Nature Comms. Nature Commun. 11, (2020)], found a universal law for expanding plasma [Sheil, Phys. Rev. Lett. 133, (2024)], and found that less than half the initial droplet
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, or (Social) Psychology; experience with aspects related to the topic of the proposal (e.g., digital communication, artificial intelligence, developmental research, research on mis/disinformation); experience
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at the department for the fabrication of such constructs are: Additive manufacturing technologies for building functional 3D scaffolds, such as 3D fiber deposition, bioprinting, and digital light processing. Advanced
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our website: https://www.list.lu/ How will you contribute? You will join the recently awarded PEARL project FUNG-FACTORY in a team of approximately 10 people – led by Ronald de Vries, dedicated
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successful candidate will also contribute to experiments. Where to apply Website https://www.academictransfer.com/en/jobs/364062/phd-position-in-soft-matter-mod… Requirements Specific Requirements We
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Remuneration: $37,145 (tax-free RTP stipend) For scholarship procedures and conditions, please see: https://www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures
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. Digital Twin technologies may also be explored to create virtual representations of industrial environments for system testing, optimisation, and performance evaluation. The research aligns with Industry