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. The PhD project is part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies), which is a national collaboration involving 23 leading companies, five Danish
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to improve understanding of the degradation processes that dictate the operation lifetime of solid oxide cells (SOC). Transforming our society to rely only on sustainable energy sources is a formidable
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
-edge techniques (e.g., electron/confocal microscopy, flow cytometry, DLS, FTIR) Join a highly supportive, international team where your ideas are welcomed, and your growth is prioritized Work at DTU
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supportive, international team where your ideas are welcomed, and your growth is prioritized Work at DTU Health Tech, one of Europe’s top technical universities, located just outside Copenhagen—a global hub
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The Section for Environmental Chemistry and Physics invites applicants for a PhD fellowship in advanced bio-oil analytical chemistry. The project is part of the research project “UPBIO”, which is
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University of Denmark, DTU. DTU Nanolab houses a state-of-the-art electron microscopy center. The work carried out at DTU Nanolab spans the range of basic topographical studies to highly sophisticated analysis
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in functional genomics methods (e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024
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large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. The PhD project could aim at the following issues: Improved Funding Decisions: How can we make
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traditionally relied on discrete active and passive components, with manufacturing processes remaining largely unchanged and labor-intensive. As part of the ERC project H3PMAG, this project aims to develop
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synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process