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Field
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to assess feasibility and optimise performance under uncertain subsurface conditions. Two principal configurations are employed: closed-loop systems, commonly referred to as deep borehole heat exchangers
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, work, environment, and mobility. More than 70 professors from multiple TUM faculties collaborate within MIRMI, fostering an exceptional environment for cutting-edge, high-impact research. Position
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organisation The thesis projects are developed and supervised by two professors. Methods courses give opportunities to learn and perform new techniques. This programme cooperates with the Ruhr-Universität
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map data to enable real-time operation on bandwidth- and computation-constrained platforms optimize the distribution of computation between onboard, edge, and cloud instances to balance latency
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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and circular bioeconomy goals. Research Objectives The project aims to identify high-performing microbial species capable of efficiently converting mixed C5/C6 sugars into higher alcohols with excellent
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration: Extensive technical and
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state-of-the-art high performance computing facilities, mathematical training, and world-leading international collaborations. Application procedure All applications must be submitted via the Jobbnorge
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://avenues.utc.fr/recherche/plateformes-technologiques/living-lab-stella/ ) as well as high performance computing unit PILCAM (https://pilcam2.utc.fr/ ) of UTC. Where to apply Website https://utc.recruitee.com/o