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synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
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interested in a longer-term commitment in a growing research group and you are willing to work in close cooperation with industry. You are fluent in English, both spoken and written. Further information is
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PhD degrees in computer science, a BSc in artificial intelligence, and an MSc degree in data science. The project is supervised by Stelios Tsampas (stelios@imada.sdu.dk ) and Marco Peressotti
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in relation to the department – internally as well as externally – and to contribute positively to the department’s working environment, everyday life and ongoing operation. More information about our
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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to: Design and conduct research projects in collaboration with the supervisory team Examine and analyse data on startups supported by BII Collect and analyse additional quantitative and qualitative data from
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of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
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(e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024. MYC activity at enhancers drives
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, Professor Peter Bro, and Associate Professor Kim Andersen all three from the Centre for Journalism , University of Southern Denmark. Please visit our website for more information and the full advertisement by
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Helicobacter pylori bacteria interact with each other and their host in a gastric organoid and organoid-derived monolayer cell culture system. Information on the department can be found at https://globe.ku.dk