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. theses at the interface between structural engineering and machine learning. You will disseminate your research through peer-review publications and participation in international conferences. You will
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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Job Description Are you a cybersecurity researcher eager to push the boundaries of cyber-deception? Do you have expertise in cybersecurity, machine learning and/or cyber-psychology? This fully
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spatio-temporal regularization, discrete tomography, low-dimensional latent representations and machine learning. The ultimate aim is to reduce the carbon footprint for the construction industry and enable
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, climate solutions and energy efficiency. Learn more about our institute at https://www.sdu.dk/en/mmmi and the Centre at https://www.sdu.dk/cis . The Centre is autonomous but will collaborate closely with
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related field. Strong software development and programming skills, with experience in designing and implementing complex software systems. Research experience in artificial intelligence and/or machine
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and analysis. Data analysis and interpretation, including theoretical modelling. Establishing structure-property relationships and pushing the frontiers of the field. Collaborating nationally and
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genomics tools in combination with computational biology approaches to generate comprehensive models of gene regulation during development and diseases such as cancer and neurodevelopmental disorders