463 evolution-"https:"-"https:"-"https:"-"https:"-"Goethe-University" positions in Denmark
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to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your
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to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value
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to spearhead the automation efforts within DTU Bioengineering, with a focus on integrating and enhancing automation workflows for DALSA. This involves not just the development and implementation of automated
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attraction of external research funding. The successful applicant will also be expected to present plans for the development of new research projects with internal and external partners and for raising
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development including process yield and process windows A broad understanding of micro/nanofabrication industry and an in depth understanding of its requirements, challenges and timelines Deep knowledge
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development
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for gas-phase catalysis. Development and application of ultrasensitive methods to probe gas–surface interactions by means of electron spectroscopy. Operando studies of catalysts using low dose-rate and dose
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on proposal development, budgeting and partnership formation. Commercialisation and spin‑outs: Assist researchers in evaluating the commercial potential of early‑stage science and develop pathways
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engineering, geoinformatics, computer science, or a related field with a focus on deep learning applied to remote sensing or geospatial data Documented experience with deep learning model development (e.g