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Field
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working hands-on with a wide range of individuals. Equally, they should be comfortable with statistical analysis of data. The research will focus on creating consumer-centred testing methods, exploring how
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for the PhD work will be response estimation based on remote distributed sensing of the wave field in an offshore wind park, in combination with metocean forecasting data. Improved sea-state and wave prediction
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-based method to approximate the CFD-revealed effects of liquid metal convection on molten pool temperature predictions. • Designing and conducting instrumented WA-DED experiments to validate the developed
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flow cytometry/cell sorting protocols. Design and develop specialized methods and/or techniques to provide protocols in cytometric procedures and assays in collaboration with users. · Operate and
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM), Chair
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CHP units, the wider energy system risks losing a crucial flexibility resource. Through strategic integration hybrid energy storage systems with greenhouse operations via optimization methods, control
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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time delays need to be compensated [6]. Accurate channel estimation is known to be a difficult task in UM-MIMO settings [7,8] as it usually relies only on pilot symbols to estimate a large number of
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description Our societies rely on computer systems, and increasingly so. Unfortunately, computer systems can be the target of malicious applications—malware. These malicious applications can be complicated