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Stage Researcher (R1) Positions Master Positions Country Denmark Application Deadline 15 Sep 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer
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. The piezoelectric transducers will be based on either chitosan, or aluminum nitride. You will work with academic, clinical, and industrial partners in Denmark and abroad. Your primary tasks will be to: Develop and
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. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in a relevant field, such as bioinformatics, biochemistry
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of Buildings . Responsibilities and qualifications The project's primary objective is to enhance the energy flexibility of buildings by employing advanced data-driven energy management techniques. A few
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. The project offers a unique opportunity to contribute to both foundational research and practical applications. Your primary tasks will be to: Develop methods for streaming process mining of large-scale event
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. Responsibilities and qualifications The primary goal of this PhD project is to develop and model a novel class of responsive-switchable Deep Eutectic Solvent (DES) systems for the efficient extraction of bioactive
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interest in both technical and clinical audiological work. Ideally, applicants for the position should possess the following qualifications: • Master degree in audiology, speech and hearing sciences
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background in Intelligence, Security, or a similar degree with an academic level equivalent to a two-year master's degree and with an interest (and ideally some experience) in Agent-based Modelling, Simulation
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, alongside regulatory partners such as the Danish Veterinary and Food Administration (DVFA), to apply artificial intelligence in real-world food safety contexts. Your primary tasks will be to: Develop AI
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to accelerate the green energy transition. Responsibilities and qualifications Your primary research tasks will include: Development of research design in collaboration with the supervisor team Data collection