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. Candidates without documented PBL experience are expected to complete a PBL training course within the first year of employment. The successful candidate will most likely be expected to undertake teaching
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the position. Your work tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with academic and
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how
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encourages scientific curiosity, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop
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learning activities) will be considered an advantage. Candidates without documented PBL experience are expected to complete a PBL training course within the first year of employment. Organizational and
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develop advanced research competencies alongside transferable skills that prepare you for careers in academia, industry and the public sector. Towards the end of your PhD, you will be offered dedicated
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, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop advanced research competencies alongside
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be to develop wireless sensing and communication methods that are designed together with AI-based inference, rather than treating connectivity as a separate layer. Particular attention will be given
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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Do you want to develop Danish research on cybercrime and contribute to the future of crime prevention? Do you want to be part of a rapidly developing criminological field in Denmark? The Department