463 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"The-University-of-Manchester" positions in Denmark
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knowledge in chemical engineering thermodynamics and process systems engineering. Ideally, you have solid experience in software development and an understanding of the computational challenges addressed in
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development. You are able to learn self-motivated and independently and pursue new knowledge as needed. Openness and collaborative skills (e.g. humility & will to compromise). Effort-dedication to documenting
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for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for
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scientific research at a very high level. We expect the candidate to actively engage in the development of the research unit as well as to contribute positively to teaching at the department. Molecular
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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 using science and engineering to benefit society
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will be dedicated to IT infrastructure development, with the remaining 50% focused on image analysis and related support. You will play a key role in improving how microscopy data are handled by
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. This may be through data collection, data curation, programming, modelling, experiments, open science, development, cooperation with companies, or other activities which may result in publications, patents
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Are you interested in optical characterization and can you contribute to the development of the project with instrumentation of Terahertz Time-Domain Spectroscopy for the plastic sorting industry
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they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is part of CreCon
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(CAM) . CLINDA aims to conduct independent research in the development, application, and implementation of data infrastructures for AI-based decision support tools and is rapidly growing with currently