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literature surveillance for emerging AI/ML methods relevant to biology Train researchers in AI/ML fundamentals and best practices Innovative use of novel architectures, approaches and combination of tools Key
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the thesis, the candidate will acquire a solid understanding of the theoretical and practical requirements for designing tunable and reconfigurable metasurfaces, with emphasis on multilayer architectures and
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position (see: https://www.ntnu.edu/studies/phd/regulations ). Preferred selection criteria Experience with digital
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candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while introducing recyclability and regulatory compliance. Your Tasks: Develop and characterize
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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. Develop a practical parametric model framework for ship and system design. iii. Carry out naval architecture calculations, i.e., stability, resistance, hydrodynamic analysis, etc. iv. Carry out ship
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biochemical flux and pathway regulation. The RIBOTICS project involves a team of 3 postdocs and 3 PhD students, who will work on design, characterization, and experimental verification of several RNA systems
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environment at the Interdisciplinary Nanoscience Center, where the lab is located. References: [1] A single-stranded architecture for cotranscriptional folding of RNA nanostructures. Science (2014). https
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the field of design for modular electronic architectures. Position You will work actively on the preparation and defence of a PhD thesis modular electronic architectures. This PhD research investigates
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transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components for longitudinal risk trajectories. Build robust