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for these types of experiments at the single cell level. Your primary tasks will be to: Design and conduct experiments to generate high-quality datasets Analyze and interpret complex datasets related to gene
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conceptual framework linking nanoscale features to macroscopic adsorption efficiency. Generate and curate high-quality datasets to support data-driven materials optimization and future integration with AI
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Job Description If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is
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Job Description If you are aspiring to shape the future of industrial R&D or academia - especially in the context of renewable energy and intelligent systems - this PhD position may be
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with the relevant union. The period of employment is 3 years. The position is available from 1 February 2026 or later according to mutual agreement. You can read more about career paths at DTU here
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processing and hybrid BCI design Machine learning (ML) Bioinspired control systems Neuroplasticity and motor recovery Real-time control of soft exoskeletons Your Role As a PhD candidate, you will: Develop and
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that you? Responsibilities and qualifications The construction industry is entering a time of innovation, with a much-needed transition to more sustainable practices. This project focuses
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Job Description Do you want to contribute to a greener future where state-of-the-art scanning nitrogen vacancy (NV) magnetometry is introduced to visualize buried functional processes in energy
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terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of
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the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. Starting date is December 1st 2025 (or according