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Job Description DTU Chemistry is seeking a talented researcher to develop advanced thermodynamic models for predicting phase equilibria and thermophysical properties of PFAS. This position offers
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Lifetime Prediction as per January 1st, 2026, or as soon as possible thereafter. The position is available for a period of two years and six months. In electronic engineering, Aalborg University is known
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, to test their potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat
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qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and self-motivation are desired skills at DTU. In
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frameworks to support predictive maintenance assessment of PV plants. Your main responsibilities will include: Developing and optimizing daylight luminescence imaging techniques for field inspection
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years from January 2026, with possibility for extension. The position is associated to the ERC Synergy project RECLESS (Recycling versus loss in the marine nitrogen cycle: controls, feedbacks, and the
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-edge generative and predictive methods for materials discovery, we offer an excellent opportunity to advance your research. We are seeking a highly motivated and talented postdoctoral researcher to join
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real
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, analytical chemistry, neuroethology and collective animal intelligence to develop predictive models on honeybee behaviour in response to chemical cues. If you care about biological diversity, sustainable
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and