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, in Danish. Research context The postdoctoral project forms part of the larger research project Educational Optimism – Aspirational Orientations and Mobility of Minority Ethnic Youth, which examines
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development, particularly in LabVIEW, C++ and Python programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed
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A postdoc position in Physical Unclonable Functions, with a focus on production equipment and producing PUFs at scale. It will be an advantage if you have hands-on experience with programming
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the University of Southern Denmark (SDU) to develop a well-accepted, innovative hybrid cheese. The project focuses on unlocking texture and flavor performance in hybrid cheese prototypes through a
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). Responsibilities and qualifications The research position is part of a project funded by the Innovation Fund Denmark, which seeks to develop digital twin software that will enable virtual manufacturing for 3D
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resonance (NMR) spectroscopy. The successful candidate will have demonstrated expertise in both microfluidic tissue culture platforms and advanced hyperpolarized NMR techniques for metabolic and functional
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substantial power demands, driven by the processing of vast amounts of data. As part of the ERC project H3PMAG, this project aims to address key challenges in power solutions for future AI demands, focusing
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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electrolysis plays a vital role in the emerging hydrogen economy, yet its performance and cost are still limited by traditional component architectures. There is a clear need for breakthroughs in the design and
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cutting-edge solutions that enable researchers to explore complex biological systems at unprecedented resolutions while maintaining the spatial context. DanSIC is also part of CellX – The Danish Single Cell