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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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The Faculty of Behavioural and Social Sciences (GMW) excels in research and teaching in the areas of behaviour, thinking, learning, and participation in society. More than 4,500 students and
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experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You are also expected to interact scientifically with
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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caregiver consultation hours, we support you in every phase of your life. Growth and development Our online learning environment offers a wide range of training courses, e-learnings, and educational programs
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. Candidate should have an affinity for multidisciplinary fields of research and a hands-on attitude towards experimental work. Computer skills in simulation and modelling are also desirable. We expect
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. Computer skills in simulation and modelling are also desirable. We expect creativity, flexibility and ability to co-operate within an interdisciplinary research group. Excellent communication skills
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? The successful candidate has a strong background in experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You
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done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops will be organized on location (Western Scheldt and
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governance from around the world”. We address questions related to institutional effectiveness and change, governance innovation and complexity as well as learning and adaptation. Empirically, we have a strong