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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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, Biomedicine, or Computational Systems Biology. Experience with NGS data or single cell-sequencing analysis is required. Competence in adipose tissue biology, cell culture work or mouse physiology would be
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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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, 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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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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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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. The broader goal is to support assistive devices through real-time analysis of brain activity and physical interaction signals using energy-efficient hardware. As a PhD candidate, your primary focus will be
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experience with: Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self