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assessment methods with the consumption data of a Danish cohort to analyze and design mitigation actions and strategies to reduce environmental footprint for specific socio-economic status. The main tasks
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the statistical design of experiments, the analysis of the fermented materials by physico-chemical methods(LC-MS, NMR) and specific functional assays, as well as the assessment of the beneficial effect
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can be utilized, e.g., the considerable thermal mass of the swimming pool, the large amount of waste heat, the distinct ventilation system, where the design and operation of the air handling and
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: design fNIRS experiments designed to assess neural responses to auditory and visual stimuli, and record and analyse the fNIRS responses to objectively assess cross-model plasticity and hearing device
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Your overall focus will be to strengthen the department’s competences within computational modelling, design, and optimization of large water pit thermal energy storage. You will work with nearby
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Apply Job Description The section for Computational Atomic-scale Materials Design (CAMD) at the Technical University of Denmark (DTU), is seeking an outstanding and highly motivated candidate for a PhD
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opportunity for contact with their floating wind experts. You will be affiliated with the Section on Response, Aero-elasticity, Control and Hydrodynamics in the Division of Wind Turbine Design. Our ambition is
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Nicolaos A. Cutululis, DTU and Dr. Arsim Ahmedi, TotalEnergies. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific
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for software development for bioinformatics will be highly beneficial. The position is part of the NNF funded Inter-CeBIL – International Collaborative Biomedical Innovation & Law Program center, headed by
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leading the TEDDY project, funded by the Hedorf and FDE Foundations. This project aims to develop and validate mathematical models that empower logistics companies to strategically plan for electrifying