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/ machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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background in computational biology, modeling or Machine Learning and Artificial Intelligence Familiarity with basic techniques and principles in cell and molecular biology and biochemistry Willing to learn
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clinical translation Collaborative mindset with enthusiasm for mentoring and teaching junior researchers Fluency in English The role The successful candidate will lead the computational single-cell imaging
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postdoctoral scientist to work on our Blood Cancer UK-funded programme developing next-generation, off-the-shelf immunotherapies for acute myeloid leukaemia (AML). This three-year project will harness cytotoxic
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, cell-based assays, and quantitative immunologic methods to measure functional antibody activity. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to: Learn
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plant resistance genes using effectoromics approaches in plant–microbe interactions. This position focuses primarily on experimental biology, including molecular, genetic, and cell biology approaches
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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longitudinal lung cancer program. Our aim is to trace the intricate evolutionary trajectories of lung tumours across space and time. Our second research direction investigates the role of non-mutagenic
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune