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collaborate with the metabolomic facility. You’re the perfect candidate if you have: PhD finished by Nov 2025 in a life-science or quantitative field (microbiology, biotech, physics, maths, comp-sci…). A solid
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. within 6 months from the closure of this call; A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular phenotypes coupled with genotypes
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data science, etc) to be obtained max. within 6 months from the closure of this call; A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular
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pathways driving leukemic transformation during haematopoietic development. The successful candidate will use in vitro differentiation systems (ESC/iPSC) to model normal and malignant haematopoiesis
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spanning multiple diseases. About the lab: The Glastonbury Lab is focused on developing and applying Machine Learning to problems in digital pathology and spatial transcriptomics. The group has a particular
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that regulate B cell activation, antibody production and their genetic variability. We use a wide range of immunological and genomic assays to study B cell biology, antibody diversity and variation in the human
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. within 6 months from the closure of this call; A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular phenotypes coupled with genotypes
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, Pharmaceutical Preparation, Pediatrics, Stomatology, Nursing, Medical Laboratory Technology, Medical Imaging, Anesthesiology, Rehabilitation Therapy, and Medical Imaging Technology. Among these, Clinical Medicine
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", Hangzhou Advanced Institute prioritizes talent cultivation, scientific research, and innovation entrepreneurship. It aims to create a technology innovation ecosystem that integrates talent development