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at ICL and UCL, to implement Physics-informed Machine Learning methods within an overall system modelling software tool. We are open to discussing flexible working arrangements. To explore the post further
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About us At the Advanced Biosensing Technology Group, our research interests include the study of chemical and physical properties of advanced materials using nanotechnology and the assembly
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its competitive edges in technology, health and society. www.tuni.fi/en The Electrical Engineering unit at the Faculty of Information Technology and Communication Sciences , Tampere University, invites
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