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-driven catalytic systems and/or electrochemical analysis (e.g., GC-FID, cyclic voltammetry, electrochemical workstation) Strong experimental design skills, including optimization of material synthesis
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), and cell free methods. Key Responsibilities: Development and optimization of vector constructs and expression condition characterization of protein yields and quality, and large-scale protein production
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-processing pipeline for high-field MRI medical data (normalization, denoising, spatial registration) to optimize the quality and consistency of data used in analyses, and to facilitate the search
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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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processing, inverse problems and data science with emphasis on analysis, optimization, numerics and algorithmic solution Collaboration in interdisciplinary cooperation projects and third-party funded projects
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studies within the hydrogen research hub (HI-ACT) funded by EPSRC. The project seeks to deliver industry-relevant tools that enable optimal design and operation of hydrogen technologies in real-world
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 1 day ago
conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is
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ore quality and optimize operational decisions. 2. Key Responsibilities The selected candidate will be responsible for: Analyzing mining extraction processes and their interaction with the new washing
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research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis with bipolar membranes (BMED] for sustainable desalination brine treatment, at the crossroads
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization