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. The analyses will include large-scale epidemiological health data as well as daily life activity data collected using wearable sensors, with a strong emphasis on the application of machine learning methods. In
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(DFT) simulations and develop machine learning potentials to investigate zeolite-related systems. The role will focus on delivering research projects and promoting research excellence in this area. The
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are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
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, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno-economic study, design and analysis of integrated systems. Experience with energy system
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, and construction progress analysis. Key Responsibilities: Conduct research in computer vision, machine learning, large language models, AI agents, and 3D reconstruction for infrastructure digitalization
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: offshore wind turbines, wave tank experiments, fluid-structure interactions, sensors for offshore structural health monitoring, software development, machine learning and advanced AI modelling, and previous
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: PhD in Computer Science or relevant fields; Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in top-tier machine
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. For NeuroAI focus: Analyze high-dimensional brain data, document results and carry out an independent research project. For NeuroAI focus: Develop and apply new machine learning and computer vision methods
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research. Job Requirements: PhD in Computer Science or relevant fields; Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in
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/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via