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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required skills : We
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from one round to the next, and eventually the library collapses to a few selected functional aptamers. The evolution can be tracked in detail by deep sequencing of the successive rounds. The goal
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
immunology, with expertise in T cell/B cell interactions and/or vaccinology an expertise in advanced cytometry a strong motivation to learn organ-on-chip technologies a track record of publications in relevant
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protection regulations (e.g. GDPR) Tracking deliverables, reporting progress, and supporting technical documentation and consortium communication Representing the group in consortium meetings, and stakeholder
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statistics / machine learning is required A track record of previous publications in bioinformatics analysis of large-scale biomedical data (e.g., omics, clinical, structural bioinformatics data) should be
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methods (e.g., random forests, support vector machines, clustering, logistic regression) Proven track record of scientific publication in relevant fields Proficiency in scientific English, particularly in
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) or Epistemology (including social epistemology) broadly construed Experience of carrying out academic research, and discussing and presenting this research A proven track-record (appropriate to career stage
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computing is desirable Sound publication track record in relevant international conferences and top journals Highly committed, excellent team-worker, and strong critical thinking skills Excellent written and
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microbiology, fungal biology or a related field. • Experience with imaging, fungal molecular biology and flow cytometry techniques. • Excellent communication and teamwork skills. • Proven track record