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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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research in the field of modern high voltage polymer electrolytic capacitors, develop models for lifetime prediction, methods to predict and test for reliability, understand physics of failures at elevated
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TZ complexes, you are expected to determine the molecular structure and function of a TZ sub-complex consisting of 3-5 proteins. You will monitor the gating mechanism of TZ in cellular models such as
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advanced materials. Experienced in both strain development and related modelling & data analysis. Experienced with processes of biomanufacturing, including fermentation, downstream processes and scale-up
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. Experienced in both strain development and related modelling & data analysis. Experienced with processes of biomanufacturing, including fermentation, downstream processes and scale-up. Proven leadership in
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generalization. However, existing machine learning theory does not fully explain this behavior, leading to the development of new approaches. A promising explanation is that models are implicitly regularized
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/Cas and degron systems) with a range of advanced functional genomics methods, particularly single-cell technologies, in pre-clinical model systems such as cell lines and patient-derived tumor organoids
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qualifications around data-driven digital twins, energy systems modelling, forecasting and control. Some prior knowledge on distribution grids and methods for grid services is preferred. Moreover, the following
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modelling, and prediction tools. Fouling Control Coatings Fouling Control is performed by specifically designed materials to remove or prevent biofouling from i.e. ship hulls, as bio fouling leads
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, laboratory testing and data augmentation. Your main goal will be to develop predictive models for assessing the degradability of bioplastics, facilitating a transition to more sustainable materials. More