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the scope of project VH 0009 “BauMaZ – FireSafeMycel / Fire Behavior and Flame Retardancy of Mycel Materials” Use of approaches from materials science, polymer analysis, fire engineering, and measurement
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biomedical research. Required qualifications PhD in bioinformatics, computational biology, systems biology, or a related field documented experience in omics data analysis, including bulk and single-cell RNA
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techniques leading to publication in peer-reviewed journals is recommended. Preferred Qualifications include experience with mouse models, familiarity with next-generation sequencing analysis, a background in
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analysis tools Investigating channel impairments, propagation effects, and mitigation techniques Designing and evaluating transmission schemes, signal processing algorithms, and communication architectures
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(STED) and Stochastic Optical Reconstruction Microscopy (STORM) Cryo-electron tomography Imaging data science and AI-based analysis A strong record of contributions to peer-reviewed research publications
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, assembloids and chimeroids to investigate mechanisms of Parkinson's disease (PD). The work has a particular focus on high-throughput technologies and the analysis of protein aggregation. The project integrates
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central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial scientific
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Dynamics group combines biochemistry, next-generation sequencing and computational analysis to understand how chromatin remodelling enzymes shape nucleosome positioning and genome regulation. We develop and
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
and scientific exchange. A high degree of professional engagement and involvement in study designs, data analysis, and method development - your ideas and contributions will be welcomed at all stages
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team Sincere interest in analysis of large-scale data – we can provide guidance Your