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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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in functional genomics methods (e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024
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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum
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. Knowledge of health care systems, healthcare access inequalities, and health disparities, preferably within a Danish context. Experience with advanced statistical data analysis. Having experience with health
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, patient and public preferences, and evaluating new healthcare interventions and policies. We use a broad set of methods, including register-based analysis and survey data collection. DaCHE is an
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qualifications: Specialised understanding of product development and quality testing Experience with statistics, energy consumption analysis, and Life Cycle Assessment (LCA). An interest in working together
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, and evaluating new healthcare interventions and policies. We use a broad set of methods, including register-based analysis and survey data collection. DaCHE is an international environment with a strong
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career development. 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
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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testing and robotic control systems Experience with statistics, energy consumption analysis, and Life Cycle Assessment (LCA). Contact information Further information about this position is available from