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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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independently and in a collaborative, interdisciplinary environment. Excellent communication skills in English (both written and spoken). We are seeking a motivated and enthusiastic PhD candidate who is eager
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analytical and problem-solving skills with high scientific curiosity. Ability to work independently and in a collaborative, interdisciplinary environment. Excellent communication skills in English (both
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project (Decarbonization of Heating and Cooling), we are seeking a motivated and qualified PhD candidate to design integrated district heating and cooling systems. Future thermal networks based on renewable
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personal responsibility, excellence and flexibility to work and deliver results. The candidate should have excellent written and oral communication skills in English. Knowledge of German is beneficial, but not
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. Experience in hygrothermal measurements is advantageous (temperature, infrared, anemometry). Excellent communication skills and fluency in English (both written and oral) are mandatory. Knowledge of German is
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team player and your strengths include taking personal responsibility, excellence and flexibility to work and deliver results. The candidate should have excellent written and oral communication skills in
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details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa
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process optimization. Experience in hygrothermal measurements is advantageous (temperature, infrared, anemometry). Excellent communication skills and fluency in English (both written and oral) are mandatory