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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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Qualifications: Ph.D. in Molecular Biology, Genetics, Cell Biology, or a closely related field, with a strong emphasis on cancer research. Demonstrated expertise in molecular biology techniques and omics
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) Mammalian cell culture (experience with induced pluripotent stem cells and/or adult stem cells preferred) Machine learning and basic bioinformatics A proven solid research experience in the context of multi
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training of excellent researchers through international mobility, advanced training, and interdisciplinary and inter-sectoral collaboration. The programme is designed to enhance the creative and innovative
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learning* Technical qualifications: For bench scientist : expertise in mouse models of cancer, functional in vitro assays, experience with alveolar Type 2 organoid cell culture, experience with tissue
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on the integration of biobank management, protein biomarker discovery, and single cell sequencing to advance precision medicine approaches for pancreatic and related cancers. The fellow will: Manage and curate
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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course
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on your very first day Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and