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candidate with a background in molecular biology, synthetic biology, yeast genetics, or related fields, ideally combined with: Experience with development of bacterial and/or yeast strain libraries combined
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. Erbium in silicon is currently subject to intense worldwide research [Berkman2023, Gritsch2025] because erbium is the only emitter that combines compatibility with semiconductors with long spin coherence
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) develop and optimize extraction techniques using enzymes in combination with non-thermal technologies such as ultrasound, ohmic heating, and pulsed electric fields, (iii) evaluate the techno-functional
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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for effective tool wear management. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models
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that: You have an open mind and can think creatively in a computational and/or programming context. You are interested in combining your physics-based modelling skills with data-driven analysis
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to a two-year master's degree. You will work in a research team combining manufacturing engineering, solid mechanics, experimental methods and analytical/numerical modeling. A longer period at a
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with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic and industrial environments. The selected candidate will receive