90 algorithm-development-"Helmholtz-Zentrum-Geesthacht" PhD positions at Technical University of Denmark in Denmark
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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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educational development. Our section is diverse in culture, nationalities, and career paths from both industry and academia. This PhD project will be in collaboration with the Business Development section
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senior staff and Bachelor/Master/PhD students that is trying to establish the indispensable building blocks for the quantum technology of tomorrow. Responsibilities You overall focus will be to develop
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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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. 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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terms of purity, efficiency and photon indistinguishability (PhD2). Supervise MSc/BSc/Fagprojekt project students. Contribute to the development of new SPS designs. Document the research with scientific
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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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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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, 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