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-resolution microscopy, to resolve synaptic protein complexes at high resolution in defined synapses in brain tissue. The successful candidate will be a member of the MacGillavry lab that is part of the larger
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integrating background knowledge and weak supervision, e.g. based on labels in downstream tasks, which can be for example logical constraints. As part of the project, you will ideally also perform a 6 month to
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ground truth, labeling strategies, acceptance criteria, and validation experiments appropriate for low–medium TRL projects. Build dashboards/visualizations and clear reports that communicate model
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-cell and bulk transcriptomics, mutant screens and transformation approaches to identify signalling pathways and regulatory components. You will analyze data and integrate multi-modal datasets by applying
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mouse embryonic stem cells to allow for rapid protein depletion, mapping transcriptional effects (RNA-seq, TT-seq, PRO-seq), proximity labeling approaches, ChIP, and the bioinformatic analysis
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workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English