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computer skills with a focus on image analysis is required, for example single particle analysis (SPA) and tomography for structural biology. You are independent and flexible and can take on new challenges
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own way, shaped by the sensory systems it uses to detect and interpret the environment. Nikolaev lab investigates how vertebrates sense and process environmental signals across scales, from molecules
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, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both
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investigates the molecular mechanisms that govern plant development, with a particular focus on symmetry breaking processes in tomato flowers. Symmetry breaking is a fundamental biological phenomenon in which
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, the establishment and optimization of behavioral assays under controlled oxygen conditions, image‑based analyses, and quantitative data processing and interpretation. The role also includes active participation in
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or plant phenotyping, or image analysis. Experience with isotope tracing, physiological measurements, or nutrient analysis. Skills in statistical modelling (e.g. R), multivariate analysis, or trait-based
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at USBE and Umeå Center for Functional Brain Imaging (UFBI). The research will also connect with other sub projects in the research initiative. Interventions to promote lifelong learning show promising
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requirement. A very good command of the English language, both written and spoken, is a key requirement. Experience in Federated Learning, Computer Vision, Image Analysis, Mathematics, and Mathematical