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. To solve this, the HiFi-MuTaNTS project, which is a consortium between the Geological Survey of Finland (GTK), University of Helsinki, and CSC – IT Center for Science, proposes a model-based scientific
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regulatory interactions, (ii) modeling networks based on single-cell and spatial omics data, and (iii) integrating regulatory profiles with multi-modal data. These efforts aim to uncover regulatory mechanisms
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at the Faculty of Medicine, University of Helsinki. The project will focus on using and extending deep learning-based approaches developed within the group to integrate bulk multi-omics cancer data. The Kuijjer
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of 2025, the department employed about 230 people, of which 1 is an academy professor, 25 are professors and 4 are associate professors. The research at the department and the research-based teaching
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-requisite for the position. Previous experience of working with in vivo models of cancer is considered an advantage. Strong command in written and spoken English is required. The chosen applicant is expected
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position for 2 years) We are looking for an early career researcher interested in responsible use of large language models (LLMs) to facilitate and support qualitative research methods, particularly in
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significant merit: (mammalian) cell culturing techniques, in vivo models, high throughput screening, molecular biology or bioinformatics excellent written and verbal communication skills (in English) strong
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bioassay development and validation previous experience on one or more of the following fields is considered a significant merit: (mammalian) cell culturing techniques, in vivo models, high throughput
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to: Develop and apply machine learning models for analyzing complex datasets related to nature conservation. Establish and maintain code and data repositories to ensure efficient workflow and collaboration
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(e.g., ArcGIS, QGIS) is an advantage What we offer The salary is based on the Finnish university salary system for teaching and research staff, at requirement level 5, with an additional performance