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of novel processes needs to account for the interactions of molecules and materials with the process performance that occur at interfaces: e.g., adsorbent materials, heat exchanger surfaces
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circuits to computer networks, from wireless communications to signal processing, and from control theory to electric energy. It offers a highly interdisciplinary research environment with strong expertise
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approach employs a novel two-component ultrasound strategy that first concentrates drug carriers within the target region and subsequently triggers localized drug release, achieving high therapeutic
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Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong engineering experience will also be
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to distributed execution, checkpointing, filesystem performance, networking, and GPU utilisation Help maintain reproducible training recipes, configuration files, launch scripts, and documentation Work with
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university setting, is a plus. The position requires excellent German and English communication and writing skills, a proactive and adaptable approach to work, and the ability to handle confidential
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fluent in computational design and experienced in carrying work across the threshold between digital model and physical result An interest in the behavior of stone is welcome; its scientific
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100%, Zurich, fixed-term Despite the excellent quality of public transport systems in Switzerland, the railway system needs to increase its performance (quality, for instance, travel time, and
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recycling of plastics. This project contributes by developing a Thermodynamic & Process Lab-on-a-chip. We will establish, an automated small-scale experimental platform yielding high-throughput measurements
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100%, Zurich, fixed-term Despite the excellent quality of public transport systems in Switzerland, the railway system needs to increase its performance (quality, for instance, travel time, and