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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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about biology and interested in building new machine learning and AI to accelerate biological discoveries? Then this position is for you! Join Us! We are looking for a motivated PhD candidate to develop
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to therapeutic stress. The project will focus on the emerging phenomenon of intercellular mitochondrial transfer and its regulation by Connexin 43 (Cx43), a major mediator of cell-cell communication in cancer
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 4 days ago
. Requirements for all the positions: Academic requirements: European Higher Education System: university degree and Master (at least 300 ECTS) or equivalent education to access to a PhD programme in Spain or; Non
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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these particles rely largely on labor-intensive identification approaches and provide limited information on the diversity of particles present. We aim to develop a novel portable system for rapid and
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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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of biomedicine. The Computational Cellular Dynamics (CCD) Lab, led by Marius Lange, is a new research group at the Department of Biomedicine and the Basel Research Centre for Child Health (BRCCH). We develop
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics