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Field
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. The successful candidate will work on the development and integration of battery energy storage systems, develop control methodologies for the optimal operation of battery energy storage systems for critical
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of Cyanobacteria and carrying out experiments with those bacteria, as well as flow cytometric analysis. Key Responsibilities: Develop and optimize extraction methods for recovering ultra-long, high molecular weight
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processes. Developing and optimizing functional membranes, including electrically conductive membranes, for use in desalination, energy generation, and electrochemical separations. Responsibilities: Conduct
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design
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part of a larger EU project entitled “FEDORA - Federation of network optimization services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic
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reactors available at the NTFM group Materials characterization and optimization of MOCVD/ALD processes to enhance the functional properties of ferroelectric and ultrawide bandgap (UWBG) materials. In-depth
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hardware development and system-level optimization. Where to apply Website https://www.academictransfer.com/en/jobs/356825/postdoc-position-on-power-elect… Requirements Specific Requirements PhD in
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by evolving different strategies to optimize interactions with their microbial environments to maximize fitness. Our long-term goal is to investigate fundamental mechanisms of defense optimization
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PhDs and postdocs. The Postdoc will conduct research on ferroelectric thin films to obtain switchable surface adsorption energies in photo electrocatalytic cycles, seeking to enhance water splitting. The
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institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning