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nuclear calcium oscillation decoding using bioinformatic and AI approaches. The successful applicant will creatively investigate the dynamics of regulator networks at the interface of arbuscular mycorrhiza
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, led by professor Isabel Goncalves and associate professor Andreas Edsfeldt, consists of postdocs, doctoral students, bioinformatics and laboratory engineers with both clinical and preclinical
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biology, cancer biology, molecular biology, immunology, and bioinformatics are all welcome to apply. Lab techniques include mammalian cell culture, mouse models, standard molecular biology and biochemistry
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transplantation and viral immunity. Apply and expand expertise in advanced methodologies such as CyTOF, sequencing approaches (CITE-Seq, NGS, RNA-seq), and bioinformatics, with opportunities to learn and integrate
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in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should
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existing or new projects in understanding host immunity to tuberculosis or other pathogens Bioinformatics and computational modeling The technician will be responsible for maintaining detailed digital
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bioinformatic approaches, and their functional characterisation. RESPONSIBILITIES: Planning, execution and analysis of experimental work Identification and prioritisation of genetic causes of non-obstructive
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, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and model
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collaborative atmosphere, diversity and curiosity. Your tasks • Conduct data collection in field settings, the herbarium and in the laboratory, including DNA/RNA sequencing • Perform bioinformatic and
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high-throughput sequencing and bioinformatics Grant writing experience Experience mentoring students Department/Program & College Description: The College of Agriculture and Life Sciences is one