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and clinical outcome through comprehensive tumor profiling. The project integrates spatial transcriptomics, long-read sequencing, DNA methylation analysis, and microbiome profiling to gain a deeper
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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processing conditions, and minimizing environmental exposure during final application. The assessments are crucial for validating safer alternatives and sustainable process designs. Qualifications
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell
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cell differentiation towards several neuronal and vascular phenotypes Characterize cell populations using gene expression and microscope analysis Contribute to establishing embedded 3D bio-printing
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://publichealth.ku.dk/ International Staff Mobility: https://ism.ku.dk/ Application process Your application should be written in English and must include the following documents – all in PDF format: Letter of motivation
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international quality, including publication. Single cell RNA sequencing and data analysis Characterization and production of monoclonal antibodies Flow cytometry Confocal microscopy qPCR In vitro cell cultures
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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
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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