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metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop models, algorithms and data structures for high throughput sequencing data
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this project we will develop novel models for estimating the correctness of genome and metagenome assembly and algorithms and data structures for computing such correctness estimates. The Doctoral Researcher is
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social research. This includes, for instance, supporting the development of AI strategies for qualitative analysis. RESPONSIBILITIES The candidate is expected to carry out their own research within
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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spectroscopy with a novel, rapid chemical separation technique, Gas Ion Distillation (GID, see https://www.helsinki.fi/en/projects/gidprovis for details). The Doctoral researcher will develop a mid-IR laser
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for the duration of the project, access to modern laboratory facilities, and strong support for professional development, including the possibility to attend international conferences and training courses. In
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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, inclusion, and well-being. Group members have ample opportunities to develop both technical and transferable skills—including programming, data visualization, communication, networking, and leadership
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manipulation of developing mouse organs. The project will focus on how signaling pathways operate at the intersection of growth control and branching morphogenesis in the developing mammary gland and will use
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze