44 web-programmer-developer-"University-of-Illinois---Chicago" positions at UNIVERSITY OF HELSINKI in Finland
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The TrueScreen Research to Business (R2B) project at the University of Helsinki is seeking a talented and highly motivated Bioinformatician / Research Software Engineer or Postdoctoral Researcher
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using unique novel mouse models, spatial technologies and analytical methods. Postdoctoral Researcher in Functional Cancer Microbiome through the NORPOD program NORPOD is a collaborative postdoctoral
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-Cell Genomics through the NORPOD program NORPOD is a collaborative postdoctoral program of the Nordic EMBL Partnership for Molecular Medicine . The partnership is a network of four national research
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Pipsa Saharinen’s research group at the Translational Cancer Medicine Research Program at the Faculty of Medicine, University of Helsinki and Wihuri Research Institute invites applications
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& al. 2022, PMID: 35164752,Gondane & al. 2023, PMID: 36975490, and Liang & al. 2024, PMID: 38775167). For further information, please refer to our research groups’ web pages: https://www.helsinki.fi/en
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external funding as well as a research plan for how the applicant intends to develop their research activities in the future (max. 3 pages) A report (max. 3 pages) of experience, merits and vision, which
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will work within the research project “Structural correctness in metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop
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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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Assistant Professor/Associate Professor or Professor in Ecological Restoration of Urban Environments
-PI, funding agency, project name), and a plan for how the applicant intends to develop their research and focus their activities in the future (max. 4 pages with first 2 pages on past record and 2
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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