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and Power) (phase 2). CESTAP is jointly funded by the Swedish Energy Agency, academic partners, and industry. This specific project will focus on exploring various potential roles of sustainable forest
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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stability assessment of converter-dominated transmission systems. The research combines power systems, numerical methods and scientific computing, with a strong emphasis on software development and practical
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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that combine high efficacy with reduced adverse effects and the ability to overcome mechanisms of treatment resistance. The project aims to identify unique combinations of chemotherapeutic agents and hormone
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Molecular Biosensing and the Protein Engineering research groups at TU/e (see www.tue.nl/mbx and https://merkxlab.nl/ ). Their fields of expertise on continuous biosensing and protein engineering are
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what motivates people, how that influences their decisions, and how this may change across adulthood. We use a wide variety of behavioral, modeling, and neuroimaging techniques. Please see https
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for sustainable transport planning. The purpose of this PhD project is to develop modelling approaches that improve the ability to analyse future desirable transport scenarios under deep uncertainty. A central
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of materials. The successful candidate has strong problem-solving skills, is able to work effectively in a multidisciplinary and international team and demonstrates excellent communication abilities. Great