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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers
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the project. Your main tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces
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-driven analysis and modeling. These are interdisciplinary positions that combine environmental engineering, materials science, and sustainability assessment. We are looking for motivated and forward
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academic career in a group with a strong publication track record Work in a supportive, international environment just outside Copenhagen If you want to apply your skills in animal models and translational
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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
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from water samples compared to tissue samples for early detection of disease. Another is to perform “what if” scenario modelling to compare suitability for different sampling protocols in farms in non
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engineering. It covers a wide range of manufacturing processes and modelling approaches, metrology at all scales, micro/nanomanufacturing, and additive manufacturing. The research is based on a
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, EBSD and TEM Mechanical testing, such as tensile and fatigue tests Numerical modelling, such as crystal plasticity finite element modelling Physical Metallurgy, especially on steels Excellent English
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access to excellent facilities and competences for synthesis, characterization and modelling. Responsibilities and qualifications Your tasks will primarily encompass: Nanoparticle synthesis and surface
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part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including modeling, optimization, forecasting, and controlling in both deterministic and