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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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methods for analyses of large-scale genomic data such as genome-wide analyses, polygenic prediction, Mendelian randomization, functional bioinformatical follow up and network analysis. The project will
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other top universities and networks worldwide to become a truly global centre of knowledge. We are looking for a candidate who: Holds a Master degree (or will graduate before appointment date), ideally
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include developing efficient code in Python and Julia to perform numerical optimization of control fields that govern the evolution of the photonic quantum information processor. This includes adaptation
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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters
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(to help achieve net zero goals) can impact on the indoor environment and have positive or negative impacts on human health. For example, action improving insulation may increase thermal comfort within a
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animals; and technical uses such as for remote sensing, designing materials and devices for noise abatement, biodiversity assessment and underwater communication networks. The Acoustics Group offers a
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-Sklodowska-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims at the development of powerful and readily applicable workflows for data-driven development
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in closed-loop catalyst optimization workflows. This position will be part of the Marie-Sklodowska-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims
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to: Be trained to work on the collaborative PLAY study. Work on coding and collating the dataset including coding using the R program language for data cleaning and analysis. Organize lab meetings and