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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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societal challenges. We are now looking for a Doctoral Researcher or a Project Researcher in the field of computational materials modelling. You will be working on a project funded by the Research Council
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biology studies to identify and characterize adaptive homeostatic responses in novel disease models. These insights hold significant translational potential, particularly for pharmaceutical companies
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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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€/month (gross), with a possible increase based on achievements. We value work-life balance and well-being in all aspects of life. We work in a hybrid model, with the primary workplace located