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modelling and monitoring such complex systems. However, the ongoing energy transition also introduces significant uncertainty due to fluctuating renewable generation, dynamic demand, and increasingly complex
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) for general criteria for the position. Preferred selection criteria Knowledge in mathematical modelling or simulations especially in investigating particle formation mechanisms. Knowledge and/or previous
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. About the PhD position : This project is part of Work Package 1: Hormone Dynamics within the ENDOTRAIN network. It aims to investigate how different replacement therapies affect immune function and
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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video, or click here to open video) About the position We are seeking a PhD candidate in dermatology, sleep, and epidemiology to join the HUNT Center for Molecular and Clinical Epidemiology and the
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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Neural Dynamics and Computation group (www.gonzalocognolab.com), led by
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. The successful applicant will join the research group Statistical learning in molecular medicine and the high-dimensional statistics environment at OCBE, and be part of a multi-disciplinary research consortium
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at a pilot facility. The candidate will develop a simplified, control-oriented dynamic process model. This model will be used to propose control structures and analyze them. An available complex steady
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internationally recognized research in production systems, circular manufacturing, and digital technologies for industrial decision-making. You will join a dynamic and international research environment working
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge