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process and disseminate information about opportunities: from identification of suitable major calls and grant opportunities (especially international, and especially within the EU Framework Programme, now
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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the kinetics of enzymatic polymerization processes in biological environments. Expand and tailor enzyme repertoires to optimize functionality and electrode performance. Collaborate within a multidisciplinary and
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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500 life cycle experts. We work to advance and integrate life cycle action in all decision-making processes with the aim to enhance resource efficiency, promote a circular economy, and foster innovation
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about 500 life cycle experts. We work to advance and integrate life cycle action in all decision-making processes. We aim to enhance resource efficiency, promote a circular economy, and foster innovation
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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catalytic processes. The work aims to advance technologies that enable more resource-efficient and environmentally friendly production methods. About us This position is at Chemical Engineering division