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Field
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access Job description Healthcare is more than hospitals and its workforce - it depends on a web of critical support systems such as supply chains, transport, energy grids, and water networks. When floods
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their structure. Small-angle X-ray scattering analysis (SAXS), already used others systems, has proven effective in this regard, providing quantitative information on the key parameters of a structured network in
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the catalyst’s dynamic evolution. The goal is to select model systems based on the complex reaction networks involved in the CO2-to-hydrocarbons process, using machine-learned models for a consistent
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complex visual images. This position will provide a unique opportunity to assist in a research program that utilizes cutting-edge neuroimaging techniques to understand human brain functions and behavior
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Position: Postdoctoral Researcher in Vision-Language-Action Models and Physically Informed Neural Networks for Surgical Robotics Publication date: 30.09.2025 Closing date: 29.10.2025 Level of education: PhD
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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controlling cancer cell biology. Your research focus will be on (1) the molecular mechanisms underlying the action of the oncoprotein MYC; or 2) the role of chromatin remodeling complexes in regulating access
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who has been working in an academic or commercial research laboratory/company related to the differentiation of human iPSC into different cell lineages, and the assembly of complex tissue culture models
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a
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to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project