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decision data to mimic administrative rejections and historical grant decisions. Outcomes of Public Funding: How does obtaining or not obtaining public funding affect the subsequent performance of firms and
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into pioneering research that bridges between environmental science, polymer chemistry and advanced data analytics. This PhD position is a chance to make a tangible impact on global environmental challenges related
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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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sequencing data is an advantage. We offer: A three-year PhD position (or four-year for Master students) in a supportive, stimulating, and interdisciplinary research environment Enrollment in PhD school
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no footprint on the seabed. Boulder reefs and concrete reefs will be deployed during the spring 2025 and surveyed afterwards. Pre-reef data were collected in 2023 and are also available for your project. Both
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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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optimization of SERS substrates, Raman measurement, data analysis, and validation of results with reference methods such as high performance liquid chromatography (HPLC). You are expected to have a solid
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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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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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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