172 parallel-and-distributed-computing-"Multiple" positions at Technical University of Denmark
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patients facing depth-electrode testing, which is invasive and expensive. The opportunity: We've just shown that parallel transmit 7T MRI produces the best images for detecting epilepsy lesions (see our
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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development and deep understanding of infrastructure complexity. However, the shift towards a more distributed, renewable, and digital energy system introduces new dynamics and challenge existing paradigms
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria
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multiple systems Driving use-case studies that demonstrate the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers
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. The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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at multiple fidelities: from simplified beams to full 3D FE models. You will collaborate closely with both academic and industrial partners in Denmark and abroad, ensuring that your research has impact in
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them to develop preforms; Draw the multifunctional optical fibers based on modified thermal drawing process of multiple materials (e.g. polymers and metals) with strongly different thermomechanical