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knowledge of cell and molecular biology techniques used to study cellular proliferation and invasion, including IHC, RT-qPCR, and Western blot. Experience in developing three-dimensional in vitro models and
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses that link TE‑derived cis‑regulatory elements (TE‑CREs) to gene expression divergence within
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a project that aims to develop luminescent carbon dots for light-emitting applications. The position is full-time for two years, starting on April 1, 2026, or by agreement. The deadline for submitting
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research environment where postdoctoral researchers are encouraged to develop their own ideas, take projects forward, and strengthen their academic profile. Your primary responsibilities will involve data