63 algorithm-development-"Multiple"-"Prof"-"UNIS" PhD positions at Technical University of Denmark in Denmark
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quality or safety. You’ll also build valuable connections with industry and academia. The project fosters strategic interdisciplinary collaboration across DTU Food, and DTU Sustain to holistically develop
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working with “DTU Smart Road,” a full-scale pavement research platform at DTU’s main campus that hosts embedded strain and temperature sensors. Experiments will also involve the development and installation
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. The microbiome is an essential contributor to animal health and welfare through participating in the vital physiological processes and guiding host development. The positive connection between diverse microbiome
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updating and data extraction Work with quantitative data analysis, including meta-analysis Integrate living systematic review data into a RBA of sustainable dietary transitions Develop a living support
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, particularly NaTech (Natural Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new generation of Doctoral
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researchers and industry experts across Europe. Your key responsibilities will include: Contributing to the development of an SSbD strategy in collaboration with the consortium. Carry out early SSbD screening
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Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in
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, might be for you! Responsibilities and qualifications Working with colleagues in the MULTIBIOMINE project, you will develop computational methods that use novel strategies to uncover hidden features in
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of Campylobacter through literature review and conduct interviews to assess the current biocide use in the Danish poultry industry. Develop, optimize, and validate culture-independent assays by planning and
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Job Description Would you like to contribute to the development of advanced tools for predicting the allergenic potential of novel foods and proteins, helping enable the production of new and safe