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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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currently have an opening for an Vici funded 4-year PhD position position. We seek to uncover the fundamental interaction rules that govern collective cell migration—a central biological process underlying
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systems. We currently have an opening for an Vici funded 2.5-year Post Doc position. In this project, we seek to uncover the fundamental interaction rules that govern collective cell migration—a central
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heterogeneity. Subsequently, the technology will be adapted and translated to the characterization of particles in environmental samples. The project combines flow cytometry, multidimensional data analysis, cell
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Fatigue profoundly impacts mobility and quality of life in people with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine
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. The goal is to establish printing strategies that enable electronic functionality to be incorporated directly into three-dimensional, cell-compatible hydrogel architectures. During the first part of
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, including pipetting, cell culture, and molecular biology techniques, or a willingness to acquire these skills; - a proactive, independent, and collaborative working style. Experience with organ perfusion
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-) immunoprecipitations from neuronal cell models and brain tissue followed by quantitative LC-MS/MS, and you will run that workflow from end to end – from sample preparation to data analysis and interpretation. Candidate
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capital. At the same time, geopolitical tensions, migration restrictions, and national security considerations may constrain the international mobility of researchers, potentially reshaping global knowledge
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activity and synaptic dynamics using high-density 3D Multi-Electrode Arrays (3D-MEAs) — done in close collaboration with experts, providing full support as you learn to analyze this data. o Multi-Omic