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obscure the losses that designers need to understand. Within the EU Chips Joint Undertaking project Moore4Power, the University of Twente will develop new measurement sensors and methods for evaluating
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and remote sensing data from both the Arctic and Antarctic sea ice regions. Based on this new understanding, the candidate will develop parameterizations that can emulate these physics for use in more
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experience in developing novel concepts in plant-pathogen interactions on different scales (individual plant, population, ecosystem). You are a team player and able to connect to researchers in other chair
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The ultimate objective of this project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover
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limited, noisy, and low-resolution measurement data? In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with
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both the Arctic and Antarctic sea ice regions. Based on this new understanding, the candidate will develop parameterizations that can emulate these physics for use in more coarsely-resolved climate
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unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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how workplace contexts shape experiences of impostorism and how these experiences affect career development. Grounded in Social Identity Theory, the project aims to transform the way researchers
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technologically relevant problem. Project goal The project aims to develop a predictive, experimentally grounded understanding of how rapid solidification and ambient pressure shape molten-tin droplet impacts, and
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experiments into new regimes, using quantum control over heavy objects via a superconducting qubit to build quantum superpositions of unprecedented size. You will develop skills to become an expert in complex