41 coastal-ecosystem-modeling Postdoctoral positions at Technical University of Denmark in Denmark
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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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biosolutions. The institute’s tasks are carried out in interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved
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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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(RAG) models – are shaping professional expertise and practice across diverse Danish public sector domains, especially among frontline workers, including caseworkers, service providers and welfare
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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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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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well as experience working with animal models and/or cellular assays, and you are looking for an opportunity to put your skills into practise, you have it right here. The Research Group for Food Allergy at the DTU
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involve the following tasks: Supervision of BSc/MSc and PhD students related to the project. Performing catalytic tests on upgrading pyrolysis oil and pyrolysis oil model compounds using an advanced