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Field
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, probability theory, and combinatorial optimization. Experience in decision-making under uncertainty and autonomous system operation. High level written and spoken English skills. Qualification requirements PhD
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05.05.2025, Wissenschaftliches Personal The Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 1 month ago
. The research will be computational based, and at this stage is still broad, so we can formulate the optimal plan for the right candidate. We will take an interdisciplinary approach, and you will be able
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with privacy by developing techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student
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Optimizing a 3D microfluidic IVD model to study cell responses to wear particles, refining culture conditions, and analysing cytotoxic and inflammatory mechanisms. Optimizing a 3D microfluidic IVD
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their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
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-world experimentation and data collection, particularly in an end-to-end network deployment that integrates AI-driven energy optimization strategies. Application Procedure Applicants should email Dr
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that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and
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critical quality attributes Optimize design and process parameters to ensure efficient production of highly potent mRNA Evaluate multiple DNA-based platforms for optimal mRNA potency and process parameters
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will focus on building understanding of the interplay between the upstream process parameters and process performance to develop approaches and strategies to optimize efficiency and robustness and allow