222 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" PhD positions in Denmark
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. Project Description Dynamic assessment of bone and joint motion remains a major challenge in musculoskeletal imaging. While MRI and CT provide high-resolution anatomical information, they are limited in
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-on training in advanced biosensing, smart materials, and transdermal delivery technologies, leading to high-impact publications and potential patents. The project provides excellent preparation for academic
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Ecoscience programme. The position is available from 01
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pruning), carbon-aware computing, minimizing algorithmic complexity, maintenance requirements, mapping energy efficiency and related aspects using KPI (key performance indicators) with respect to ESG
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the installation and characterization of a cold optical filter bench inside a dilution refrigerator, and the evaluation of its performance when coupled to a transition edge sensor (TES) or superconducting nanowire
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candidates will then be made and tested in the laboratory. The prospective PhD student should have an interest in working in a multidisciplinary team and perform both computational and experimental materials
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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checks may be conducted on qualified candidates for the position. The Department of Chemistry performs research, educational activities, and innovation at a high international level within e.g. energy
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robotics, embodied AI and neurobotics, wearable robotics, and bio-inspired control. SDU Soft Robotics is a leading research group within SDU Biorobotics. We design, build, and program next-generation bio
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental