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, followed by post-plasma catalysis into C2H4; (2) fully coupled modelling (i.e., plasma fluid dynamics and plasma + catalyst surface chemistry) for plasma-based CH4 conversion with post-plasma catalysis
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. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials. This approach will provide guidelines to steer the formation process of zeolites by tuning
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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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-driven approaches to health, society, and policy. BISI combines expertise in epidemiology, biostatistics, health economics, and machine learning to tackle complex societal challenges. BISI is actively
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relationships. You are motivated to acquire new skills and work in a multidisciplinary team. You have practical experience with experimental work and data analysis. You act with attention to quality, integrity
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or send an email to jobs@uantwerpen.be . If you have any questions about the job itself, please contact Sebastiaan.deschepper@uantwerpen.be The University of Antwerp received the European Commission’s HR
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interest to acquire those in exercise physiology, metabolic & inflammatory regulation, molecular biology and biochemistry. Experience with basic molecular biology techniques, such as protein/mRNA extraction
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frequently asked questions or send an email to jobs@uantwerpen.be . If you have any questions about the job itself, please contact prof. Frederik Lermyte (frederik.lermyte@uantwerpen.be ). The University
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online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be . If you have any questions about the job itself, please contact Sebastiaan.deschepper
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the selection procedure. If you have any questions about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be . For more information, you are welcome