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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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) training personalized computational models in new contexts, and (iii) studying in-silico clinical intervention strategies. The postdoctoral fellow will have the opportunity to: Learn about computational
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duties We invite applications for a postdoctoral position in the research group of Matthew Webster at IMBIM, Uppsala University, to investigate the role of somatic mutations in ageing using insect model
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the projects. We are seeking a highly motivated postdoctoral researcher with expertise in tumor immunology and experience in advanced analyses as described above, along with functional studies using in vitro/ex
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cutting-edge, high-density data-driven research that impacts academia, industry, and policy worldwide. About the Programme Fellowship: each participant will benefit from a 36-month postdoctoral training
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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Koplev lab is recruiting an outstanding and ambitious postdoctoral researcher in computational
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the Data-driven Life Science Fellows program. The group, led by Wei Ouyang, focuses on building AI systems for data-driven cell and molecular biology. We are seeking a postdoctoral researcher in cell biology
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shared by Karolinska Institutet, KTH and Stockholm university. Your mission We are seeking a highly motivated postdoctoral researcher to join our team to develop new tools to analyze the sequencing data