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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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-weekly basis. If you are eligible after review, you will be invited for an interview. If you have any questions about the online application form, please check the frequently asked questions or send
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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