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technologies, enabling data-driven—and ultimately autonomous—crop management in greenhouse and vertical farming systems. Postdoctoral Researcher in Autonomous Controlled Environmental Agriculture Our goal
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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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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
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or neural networks) on CFD data to develop a fast, data-driven wind field predictor. You will combine this surrogate model with AeoLiS and evaluate the accuracy of the new model setup by applying it to
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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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prototypes of a quantum computer and a quantum internet by integrating world-class research and groundbreaking innovation. Through excellence, relevance, and leadership, we cultivate a vibrant quantum
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designing and conducting MR experiments, developing pulse sequences and experimental methods, modeling spin dynamics and relaxation, analyzing data, and interpreting the underlying physical mechanisms
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of heat impacts in Antwerp and Rotterdam. You will analyse and correlate objective measurements of indoor temperature and humidity with survey data on residents’ perceptions and experiences of heat
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uncertainty information and clear guidance for interpretation. Integrate available geological, hydrogeological and monitoring data from studied pilots in Zeeland. Collaborate with researchers and practice
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applications, equivalent and efficient physics-based AI meta models, and corresponding model predictive control schemes will be validated based on the data collected. The development of the high fidelity models