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: Protocols for two systematic reviews Protocols for three information studies. The two protocols will be for Cochrane reviews investigating the effects of blood-based genetic testing to screen for multiple
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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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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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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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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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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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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