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and Surface Engineering is multi-disciplinary and covers materials science, chemistry, physics, solid mechanics, and manufacturing technology. Properties and performance are evaluated by mechanical
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-essential components of the problem, thereby reducing the size of the subproblems and accelerating the overall solution process. The second line targets the convergence issues often encountered in column
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level equivalent to a two-year master's degree. The ideal candidate will have a background in photonics and condensed-matter physics. You should have a passion for theoretical and computational physics, a
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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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of the project makes it a prerequisite that you have a broad interest in the application of physical methods for the study of (bio)chemical function. Your primary tasks will include to: develop, evolve, and apply
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(Danish, Swedish and Norwegian), to effectively engage with stakeholders, citizens, public and the scientific community. Experience with the peer-review publication process is an advantage. You must have a
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properties of the extracted compounds, (iv ) scale-up the optimized extraction process for potential industrial application. This is a unique opportunity to contribute to sustainable food innovation while
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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, and characterization of such devices. Responsibilities and qualifications The focus of this position is to help advance the development of a reliable and efficient dual-fuel HT-PEMFC using multi-physics
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models