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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We invite applications for a PhD position in hardware-aware deep
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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
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processes [Progress in Retinal and Eye Research 93, 101170 (2023); The Journal of Clinical Investigation 132 (2), e154218 (2022)]. The research and development tasks include the design and optimization
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that "feeling" the correct movement can be a mechanism to improve skill learning, akin to the far larger body of work on observational learning in surgery (e.g., Lebel, Haverstock, Cristancho, van Eimeren
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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advanced predictive control methods to optimize the operation of an integrated system of hybrid energy storage systems (i.e., multi-carrier energy hub or micro-grid) and high-tech greenhouses. These hubs
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of Materials, analytical and numerical Data-Driven Engineering Design and Optimization Algorithms Surrogate Modeling (e.g., Kriging, Gaussian Processes, Neural Networks, etc.) Scientific Programming (e.g
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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
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*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are asked to self-declare when applying to this hiring process. City: Mirabel
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signals. Excessive sound can rupture tip links, silencing the hair cell. In vitro studies show that tip links can re grow within 24–48 hours[4,5], but little is known about how this repair process behaves