224 developer-"https:" "https:" "https:" "University of Aberdeen" PhD positions in Denmark
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recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate disassembly, reuse, and remanufacturing
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Senior Researcher in Ecosystem based marine management, nature restoration, and anthropogenic imp...
-index and ORCID (see http://orcid.org/ ) Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after the deadline will not be considered. All interested
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Job Description Are you eager to contribute to the development of tomorrow’s quantum technologies? We are searching for a talented and motivated PhD candidate to develop and characterize novel
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develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research
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university, seeks top students for attractive PhD stipends. The call is open until 1 February, 2026, with the earliest start date, 1 May, 2026. Please find more details and apply at https://math.au.dk/en/about
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. Responsibilities and qualifications Your overall focus will be to strengthen the department’s vision and expertise in artificial intelligence for autonomous systems, contributing to the development of intelligent
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, anthropology, sociology and political science. The successful PhD applicant will be a member of the Centre for Business and Development Studies (CBDS). Please see: https://www.cbs.dk/en/research/department
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molecular photoswitches or redox-active cycloparaphenylene molecules will be targeted. Stepwise synthesis protocols for constructing elaborate target molecules need to be developed. The properties
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. More information about DESS can be found at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems. The Center for Classical Communication in the Quantum Era (CLASSIQUE) is a pioneering
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-loss events undermine statistical confidence. The aim is to develop i) edge intelligence (on-turbine smart algorithms for data preprocessing), ii) resilient data movement (error-tolerant, cybersecure