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Postdoctoral studies in single-cell and computational biology Do you want to contribute to top quality medical research? A postdoctoral position is available in the laboratory of Professor Francois
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Postdoctoral studies in single-cell and computational biology Do you want to contribute to top quality medical research? A postdoctoral position is available in the laboratory of Professor Francois
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can include angles from human genetics, gene regulation, cell biology and computational systems biology. The research group works at the international forefront of human functional genomics, aiming
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
Factor (NGF) via encapsulated cell (EC Biodelivery) or cholinesterase inhibitors (ChEI’s) towards Alzheimer’s disease (AD) therapy. We aim to further our work by performing in-depth gene expression
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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clinical applications of novel cell and gene therapies in one integrated setting. In this environment, our research group focuses on combining novel genome engineering tools (e.g., CRISPR-based) and
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
Factor (NGF) via encapsulated cell (EC Biodelivery) or cholinesterase inhibitors (ChEI’s) towards Alzheimer’s disease (AD) therapy. We aim to further our work by performing in-depth gene expression
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Conservation D. How plant cell shape and tissue structure help cells stick together E. DETERMINER - Determining appropriate monitoring frequency for phytoplankton F. Predicting bacterial protein expression
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, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is mainly externally funded and is carried out in
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Parkinson. We use in vitro biophysical analysis to characterise protein aggregates and their formation in combination with advanced live cell fluorescence imaging and cell model development to study protein