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associate to support ongoing and future R&D activities in high-temperature extractive metallurgy and critical materials processing. This position focuses on developing and optimizing high temperature
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and interconnected to create faster, more compact and more energy-efficient semiconductor devices. However, the detailed mechanisms that determine bonding quality are still not sufficiently understood
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disease. Apply and optimize advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation
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of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell
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, Sputtering or MOCVD systems for microelectronics and emerging sensor technologies. Key Responsibilities: Develop and optimize wafer-scale 2D materials, including TMDCs, MXenes, and MOFs, for microelectronics
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data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
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well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project (single cell transcriptomics, ATACseq, proteomics or long-read DNA or RNA sequencing) will
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already consolidated and demonstrated experience in high-efficiency perovskite solar cell fabrication and characterization. The experience of module integration and characterization will be preferred
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-responsive drug carriers from proof-of-concept toward clinical translation. Successful candidates will develop and optimize carrier formulations, assess drug loading and release performance, characterize
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Innovator Grant from the Novo Nordisk Foundation and carried out under the supervision of Professor Claus Elsborg Olesen. The project’s main objective is to optimize the RNA delivery platform through in vitro