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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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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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, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
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, fluid mechanics, solid mechanics, materials science including phase changes, numerical mathematics and data analytics based on statistics and/or machine learning. Each of the postdoc positions will be
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, retrapping, tunnelling, and recombination, based on their respective transition probabilities. Use machine learning approaches to optimize model performance and run simulations over multiple time scales
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background in modelling, optimization, and control approaches in energy systems, Research vision and potential Familiar with machine learning techniques Background in programming tools such as Python and Julia