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leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training program in risk assessment, resilience engineering, and smart technologies. Its
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processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans
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to international training and networking opportunities through the MAGNIFY Doctoral Network. The goal is to obtain a PhD degree from KU Leuven after successful completion of the program. For more information please
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://www.academictransfer.com/en/jobs/354473/phd-on-computational-modelling-… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in Chemical Engineering, Physics, Mechanical Engineering, or
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, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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PostDocs in the group to express and characterize enzymes, develop analytical assays, and engineer enzymes using cutting-edge experimental and computational tools. Within the framework of BiONiX, you will
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. Active participation in REUNATECH training activities and contribution to collaborative work across the network. Support of relevant teaching activities of DTU’s Civil and Mechanical Engineering Department
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to develop innovative and breakthrough research in the field of multicore fibre (MCF) technology. MATCH (Multicore Fiber - Applications and Technologies - Match) is a Marie Sklodowska-Curie doctoral network
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2 Sep 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Programming Engineering » Electronic engineering Engineering » Materials engineering
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-type hydrogels Linkopings Universitet (LiU): development of the neurohybrid network The work will be done in close collaboration with the other members of the FADOS network. Further information