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Field
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collaboration with survey providers in Denmark and Germany. Analyzing survey data using quantitative methods such as conjoint analysis, regression modeling, and causal inference techniques. Writing academic
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, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses on regulatory
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robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C++), skills in data analysis, and
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Handling and analysing sequencing data, including long-read and single-cell approaches Handling and analysing transcriptomic data, including spatial transcriptomics Analysis of liquid biopsy data Close
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, proteomics, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses
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or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C++), skills in data analysis, and scientific writing is essential. While all
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-mortem and fractographic analysis Collaborating with colleagues at DTU Energy and industrial partners to improve the reliability of SOEC stacks Publishing your research results in relevant peer-reviewed
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to: Collect data through e.g. literature studies regarding the raw materials to be used Perform data analysis and interpret results from chemical and microbial analysis of the raw materials Carry out product
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in using TRNSYS or IDA ICE is an advantage). Previous research experience in statistical analysis, data-driven modelling, and machine learning for indoor environment and building applications is an
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial