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of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems
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material performance. The postdoctoral researcher will investigate ammonia-controlled co-precipitation of precursor materials and study how impurities such as Li⁺, Na⁺, F⁻, Mg²⁺, Cu²⁺ and Al³⁺ influence
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at the Department of Cell and Molecular Biology. The Elf group works across traditional disciplinary boundaries to explore life at the molecular level. We build physical models of key biological processes and develop
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technologies to assess the multicellular environment within three-dimensional microtumor models. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural
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AI-driven analyses, and patient-oriented research, WHOLE aims to generate new knowledge, diagnostic innovations, and more equitable models of care in close collaboration with patients and healthcare