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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather
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singing exercise, analyzing song using sophisticated bioacoustics analysis methods, muscle physiology, immunohistochemistry and confocal imaging. The Vocal Neuromechanics lab is embedded in the Sound and
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relevant for the position Work experience in multi-omics data generation and analysis (proteomics, transcriptomics, metabolomics) Experience in microbiology and microbial physiology Experience in handling
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synthetic and real datasets. Developing software tools compatible for integrated use with popular data analysis packages, to be made available for public distribution. Eligibility Essential: Relevant Master’s
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been compromised but is generating bening outputs, e.g. via computational linguistic analysis of output space distributions Linguistically motivated methods for analysing and securing LLM behaviour
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integration of active and passive photonic components Characterization and analysis of different functional photonic devices Demonstrate fully integrated optical frequency comb and its applications
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and diagnostic potential? Join a collaborative PhD project at DTU Bioengineering focused on single-cell proteomics–based analysis of circulating tumour cells (CTCs) from patients with small-cell lung
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situ NMR technology, is co-supervisor of the position. Please note that you will be working with another PhD student (position also open), who will be developing NMR techniques for quantitative analysis
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and physical principles of negative ion mode LC-MS/MS-based peptide analysis. The project combines method development and mechanistic exploration with downstream applications in proteome
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sustainability. Proficiency in English speaking, reading and writing. Strong analytical and methodological skills, with proven experience in one of the following: material flow analysis (MFA), system dynamics (SD