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Field
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may contain unique information about organ quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in
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perform experiments, followed by the analysis, interpretation and reporting of data and results. Communicate and interact with the research group, as well as with collaboration partners from academia and
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chemistry, analytical chemistry and/or bioinformatics. Keen interest in antibody biology and human immune responses. Previous experience and keen interest in developing skills in data analysis, statistics
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empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social experiments Collaborate
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intelligence. About the project Vulnerabilities in software products continue to be a major cybersecurity threat, enabling attackers to steal data, take over services, or disrupt critical infrastructure. Well
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engagement behaviors; and programming experiments, survey instruments, and digital trace data collection and analysis tools. Responsibilities are: Writing a PhD thesis Planning and executing data collection
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7 Oct 2025 Job Information Organisation/Company The Open Universiteit (OU) Research Field Computer science » Cybernetics Computer science » Programming Researcher Profile First Stage Researcher (R1
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methods and data analysis to efficiently generate the right insights. Position within networks, you can effectively gather information and context; you maintain and expand your network for sustainable
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quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in this PhD project with biomarker data and outcome
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but