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histopathology, advanced imaging, gene expression profiling, behavioral analysis, and the application of this protocol to test model- and emerging contaminants suspected to be neurotoxic via endocrine mediated
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neural networks are large black boxes, we need both automatic methods to analyze such systems and human-interpretable certificates of the analysis results. We will devise automatic and sound methods
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research environment with a strong scientific and social network for students and postdocs and good mentoring opportunities to support individual career development. You will have access to state-of-the-art
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verification and formal verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise students. Optionally contribute to teaching. Required qualifications: Hardware design in a
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of GPs across Denmark, including community level characteristics, such as economic status, rurality, and social infrastructure. The working environment and family factors of GPs practicing in underserved
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a newly formed collaborative cancer research environment with a strong scientific and social network for students and postdocs and good mentoring opportunities to support individual career development
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. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication. Participation to international conferences to facilitate successful integration
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, preferably Reinforcement Learning (e.g., Q-learning, Deep Q-Networks) or other control algorithms. Proficiency in Python, MATLAB, or similar for data analysis, modeling, or AI implementation. Strong written
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vibrant research environment supported by robust infrastructure and extensive collaborative networks. Expected start date and duration of employment This is a 1–year position from 1 September 2025 or as
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, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for