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integrating machine-learning techniques with experimental datasets on bioplastic degradability. You will work to establish links between polymer features and degradability through mapping of existing data
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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Job Description If you are passionate about marine technology, data analytics, and ecosystem research, we have an opportunity for you! DTU Aqua invites applications for a PhD position focused on
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financed by EUDP (link ). Start date is (expected to be) the 1 August 2025 or as soon as possible thereafter. The project The successful candidate will join the UPBIO project, which aims to advance
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. Applications should be sent electronically via the link "Apply now". The faculty expects applicants to read the information "How to apply for a position at SDU " before applying. Please note that the application
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Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary (only available in Danish) and taxation. The successful candidate will be enrolled
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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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the MSCA Doctoral Network CoDeF, with four of the PhD positions located in and around Copenhagen. More information on the CoDeF training network can be found here . Your main supervisor will be Professor
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social science methods. Strong writing skills. Further information For further information about the position, please contact Associate Professor Tonny Brems Knudsen, Department of Political Science
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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