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following requirements: a PhD degree in Energy Law; a relevant publication record demonstrating your ability to publish international academic publications, preferably in top tier peer-reviewed journals
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contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid
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energy generation, high-tech systems, electric vehicles, industrial automation and more. At EPE Group, we are building a strong research line on the reliability and resilience of power electronics systems
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group in the Department of Cognitive Robotics. You will be supervised by associate professor Luka Peternel and associate professor Jens Kober, and work with MSc students and PhD candidates in
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profitability. Examples include optimizing production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental
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for: design and optimize bioprocesses for cultivated meat production, including media formulation, cell growth, differentiation, and harvesting techniques; conduct and optimize the production of porcine and
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enzymes are known to offer greener, safer and less energy demanding benefits. For this reason, the European Innovation Council has funded a new Pathfinder Open project W-BioCat https://www.wbiocat.com
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
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Organisation Job description Lithium is a critical raw material essential to battery technologies powering the global energy transition. However, during the refining process for battery-grade