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Join a project at the intersection of the developmental cell biology of the oncogene RAS and drug target validation in the Cancer Cell Biology group under the supervision of Prof. Daniel Abankwa
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and clinical research by embedding the “bed to bench to bedside” research approach. Fundamental research focuses on induced pluripotent stem cell (iPSC)-derived neuronal models to elucidate
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therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling by integrating large-scale single-cell foundation models with structured biological knowledge encoded in
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to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address challenges in stem cell research, aging and
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approach. Fundamental research focuses on induced pluripotent stem cell (iPSC)-derived neuronal models to elucidate the molecular and cellular alterations contributing to neurodegeneration in familial and
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the analysis of protein aggregation. The project integrates stem cell biology, stress granule biology, multi-omics, and therapeutic target validation. Key responsibilities: Generation, maintenance, and
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the analysis of protein aggregation. The project integrates stem cell biology, stress granule biology, multi-omics, and therapeutic target validation. Key responsibilities: Generation, maintenance, and
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crosstalk in colorectal cancer initiation, progression and therapy resistance. Using state-of-the-art single-cell RNA sequencing (scRNAseq) and spatial transcriptomics on CRC patient samples, we have
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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under
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del Sol, which develops computational models to address challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering