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, we are looking for a motivated doctoral student to investigate and develop methods which target energy system design and operation jointly. To date, the traditional methods of planning and operating
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thanks to their smart topology design and capacitive self-sensing capability, which ease control and integration into mobile robots. However, many challenges remain, such as the actuators' low stroke, low
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calculations of the spin dynamics. Based on recent theoretical developments in our group (publication 1 , publication 2 ), we plan to use numerical optimization of effective Hamiltonians to generate new and more
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the upcoming project, we intend to design a digital intervention that strengthens individuals’ mental resilience. To do so, we will apply insights from the theory of embodied cognition and focus on the interplay
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the upcoming project, we intend to design a digital intervention that strengthens individuals’ mental resilience. To do so, we will apply insights from the theory of embodied cognition and focus on the interplay
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Multivariate Time Series Analysis, Sequence Modeling, Dimensionality Reduction, Anomaly Detection, Temporal Pattern Recognition, Feature Extraction and Engineering, and Prediction Models. Method development
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the upcoming project, we intend to design a digital intervention that strengthens individuals’ mental resilience. To do so, we will apply insights from the theory of embodied cognition and focus on the interplay
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, physics, engineering, or related field. Sound knowledge of the English language, both orally and written is expected. Experience in designing optical and electronic instruments, in particular printed