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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
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group is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create
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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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analyses (such as single-cell RNA-seq and spatial omics data), design of therapeutic strategies based on antibodies and evaluating these using e.g. explant cultures based on patient-derived material
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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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, volumetric data analysis, optimization methods, statistical modeling, or machine learning for scientific applications. Prior experience with cryo-EM software frameworks or structural biology data is considered
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, bioinformatics, nanotechnology, or a closely related field, with demonstrated expertise in developing tools to process sequecing data. In addition to the aforementioned requirements for the position: Strong
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the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala University
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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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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The research group headed by Emma Lundberg is connected to KTH and located at SciLifeLab in Stockholm