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to develop new scientific methods to design and analyse better, more sustainable buildings. A researcher at the turn of the last century was trying to find a standardized animal model for their experiments. A
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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the physical chemistry of hydrogen bonds. Your overall focus will be the collection of experimental spectroscopic data and its analysis with quantum calculation techniques and molecular simulation methods. Your
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ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep learning
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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transformation Publish research results in top-tier peer-reviewed journals and present at international conferences. Innovative integration Research and integrate new methods and technologies to merge existing
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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such as data scarcity, cultural sensitivity, inclusivity, and the need for robust preference optimization methods that go beyond standard fine-tuning. Key research objectives include: Developing Efficient
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understand how materials interact with soft and hard tissue. Willingness to learn and integrate new methods or technologies, such as bioinformatics and 3D imaging processing. Ability to work both independently