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is a theme that focuses on understanding how VET can either perpetuate or mitigate social inequalities. The research should investigate mechanisms through which vocational education impacts social
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration
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, local Danish time. Research Project You will conduct a research project with the aim to understand the molecular mechanism that allows the transition zone (TZ), a conserved protein complex with unknown
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limitations. Encompassing proton-conducting electrolytes, these cells operate within the 350-650 °C range, which is markedly lower than that of the traditional solid oxide fuel cells (SOFCs) by 200°C
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skills Experience with nanoparticles for drug delivery or diagnostic applications Familiarity with biological systems and cellular targeting mechanisms Knowledge of computational tools for modelling
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computers, one of the major milestones is the development of high-quality quantum bits (qubits), the core units of quantum computation. Unlike classical bits, solid-state qubits must operate at extremely low
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a first-class or upper second-class degree (or equivalent) in Civil, Mechanical, Structural and Marine engineering or other relevant areas. Programme Package and Funding Our EnerHy PhD Studentship
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age