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. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model parameters that have
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). Knowledge of/experience in Bayesian networks is appreciated. Knowledge of/experience in AutoML or hyper-parameter optimisation is also appreciated. We offer We will give you a temporary employment contract
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operation and track its health, recurrent neural networks, particle and/or extended Kalman filters, and inverse parameter estimation methods might be worth exploring. By uncovering the dependency between
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track its health, recurrent neural networks, particle and/or extended Kalman filters, and inverse parameter estimation methods might be worth exploring. By uncovering the dependency between the cell
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stability/lifetime of perovskite solar cells strongly depends on many—largely unknown—parameters. This is a problem in any research lab, but even more so at the industrial scale. This project will tackle
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respect to drought and Nitrogen-deficiency. Next, the candidate will construct a predictive hybrid model by (a) retrieving estimates for performance and resilience-defining parameters from experimental time
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quantitative toxicity assessment in key industrial settings like drug development. In AUTOMATHIC, we aim to develop an integrated framework for automated ODE structure identification, parameter estimation and
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considered as a manageable proxy. Furthermore, parameter estimation criteria will be considered such as the Fisher information or the Cramér-Rao lower bound, e.g., for estimating the range, Doppler, angle and
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; - Estimating IRT-parameters for the instruments used in this study with aforementioned models; - Developing a CAT algorithm that combines various outcome measures and formats in a single instrument; - Developing