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Field
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-genome and population structure analyses, genome-wide association studies (GWAS), and the integration of transcriptomic and phenotypic data to identify candidate genes linked to biocontrol traits
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imaging, spatial transcriptomics/genomics, (multiplex) immunostaining experience with protein-protein interactions and/or working with live snails is a plus affinity for bioinformatics techniques and
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diversity, and functional genomics. Apply molecular biology techniques (e.g., DNA/RNA extraction, PCR, qPCR, metagenomics, transcriptomics) to study microbial communities in soil environments. Develop and
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and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What we offer The successful applicant is offered: Access
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for downstream sequencing and imaging. Performing MALDI mass spectrometry and spatial transcriptomics to characterize biological niches within mouse and human tissue samples. Performing quantitative imaging
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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gastric cancer. The position will utilize genetically engineered mouse models, human and mouse organoid systems, and single-cell/spatial transcriptomic approaches. The individual will assist with
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particular focus on how these cells interact with their microenvironment. The successful candidate will employ cutting-edge single-cell and spatial transcriptomics approaches in both human and mouse tissues
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, molecular biology, bioinformatics, and advanced data analysis. Experience with single-cell transcriptomic analysis will be given high priority. Strong interests in both mechanistic and translational aspects
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collaborative environment with strong expertise in single-cell transcriptomics and epigenomics, mammary gland biology, cancer initiation, and organoid and in vivo modeling systems. We are committed to mentoring