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vulnerable citizens. You will be part of a dynamic, interdisciplinary research setting at one of Europe’s leading technical universities. DTU is committed to innovation, societal impact, and diversity
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal
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collaboration that covers all aspects of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior
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computer science, mathematics, or a related field will be considered an asset. The position requires the ability to work independently as well as in collaboration with colleagues in a dynamic and international
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tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations and in silico screening to assess inhibitor-target interactions and predict selectivity. Clone, express, and purify top
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of non-traditional sensors for pavement monitoring, such as accelerometers, gyroscopes, and dynamic tiltmeters. Lastly, parametric investigations will be carried out with the validated code, utilizing as
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for the PhD education . Assessment The assessment of the applicants will be conducted by Professor Tomislav Dragicevic and Postdoctoral Researchers Pere Izquierdo and Miguel Lopez. We offer DTU is a leading
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subjects and engineering scientific disciplines. The teaching and research cover separation processes, bioprocesses, bioengineering, bioconversions, reaction engineering, dynamics and process regulation
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systems, and husbandry practices. This Ph.D. position aims to gain new knowledge on fish microbiome-health & welfare dynamics, the development, stability, and resilience of microbiomes and performance and
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projects partners. This requires good communications skills but also allows you to co-operate with leading European research institutes. Responsibilities and qualifications You will be part of a dynamic work