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between process/system performance, reliability, energy and resource efficiency. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing
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performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators (e.g., Kalman Filter
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of the nonlinear structural performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators
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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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sensing information from key locations on the offshore infrastructure. In this regard, the research will focus on the assessment of the nonlinear structural performance utilizing reliable and
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and employ a scoring/ranking system for evaluating sensitisation capacity The overall objective of your research will be to reliably determine the sensitising potential of novel foods and food proteins
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will autonomously estimate the flexibility of converter-interfaced loads, communicate with an aggregator, and modify their decentralized control to contribute to the resilience and reliability
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ensuring accurate and efficient analysis of system behavior under various conditions. Dynamic equivalents enable faster and potentially more reliable stability assessments, which are vital for integrating
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for this role due to its advanced development, scalability, proven reliability, high performance, and ability to operate across a wide range of temperatures. Work description The appointed researcher