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The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance or replace established methods
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Are you passionate about developing novel research and keen to shape the future of energy transfer technologies in areas such as, forensic science and Uncrewed Aerial Systems (UAS). We
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at Aalborg University and Aalborg University Hospital. At CLINDA, the research focus is on the development and implementation of clinical AI, bioinformatics and biostatistics, and methodological development
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for continuous development through training courses offered by the University (e.g., coding skills, writing skills, etc), conference attendance and meetings with the industrial partner. This project will be
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sensors - if we can control and tune their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials under realistic conditions
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), where heat is stored/released through reversible chemical reactions. This project focuses on NaOH water TCES systems, which use cheap, abundant materials [1]. We will develop modelling tools that combine
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that is still poorly understood. This project will develop advanced computational models to simulate a new imaging technique called electron ptychography, which can map magnetic fields in 3D at nanometre
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Energy’s Natural Hazards R&D Team, this project will utilise and develop state-of-the-art space simulations to probe past, present and future events to constrain extreme value distributions spanning hundreds
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Characterize them using biochemical, biophysical, and structural tools Develop reaction assays to confirm and quantify enzymatic activity Analyze the data obtained to elucidate reaction mechanisms Present and
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facilitates the integration of real property priorities into business plans, providing analysis and strategic advice to support portfolio-level decision-making. Key responsibilities include developing and