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, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and molecular biology, but
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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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Contact information to trade union representatives. To apply for the position Log into KTH’s recruitment system to apply for this position. You are responsible for ensuring that your application is complete
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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
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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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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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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spectroscopy. The scholarship is two years full time with access 15 April, 2026 or by agreement. The deadline for applications is 20 February, 2026. Departmental specific information The scholarship is placed
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is full-time for 2 years, with access starting in May 2026 or by agreement. Departmental specific information The research will be carried out in the laboratory of Cemal Erdem at the Department
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department