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Field
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Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new generation of Doctoral Candidates (DCs) capable of tackling
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Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular mechanics (QM/MM) molecular dynamics simulations using a Quantum Centric Supercomputing (QSC
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receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available
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Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in the field of Energy Infrastructure, Maritime Economics, Ports
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ministries, municipalities, consultancies, and network organizations that have a similar aim. Accordingly, the PhD candidate will work closely with both other academics and practitioners to increase
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time, infrastructure networks reach capacity thresholds. Extending and upgrading infrastructure is challenging and limited not only because of long infrastructure lifetimes coupled with high investment
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of organic and inorganic molecules encapsulated inside 2D materials. As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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in computer vision and language technology Direct impact on accessibility and inclusion for the Icelandic deaf community Participation in international conferences and research networks Mentorship from
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, particularly NaTech (Natural Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new generation of Doctoral