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Field
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are looking for candidates within the field(s) of plant biochemistry, plant biotechnology, molecular biology, plant signalling and/or bioinformatics with experimental experience working with
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, phenotyping, bioinformatics and predictive modelling. The project gives you the opportunity to work across scales: from thousands of plants and complex microbiome datasets to mechanistic experiments with
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academic environment with excellent access to infrastructure and core facilities at Lund University, including platforms for genomics, transcriptomics, bioinformatics, and advanced imaging. Within the
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, bioinformatics, physiology, parasitology, immunology and polyomics (genomics, transcriptomics, proteomics, metabolomics). Individual research projects are tailored around the expertise of principal investigators
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, molecular biology, genetics and bioinformatics. Skills and proven research experience in proteomics and/or genomics datasets is highly desirable. Strong analytical ability, communication skills and
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and entrepreneurship, health economics, data management and bioinformatics. Study options PhD Duration: 3/4 years full-time; 5 years part-time Individual research projects are tailored around the
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Biology and Genetics (incl. Molecular Medicine and Bioinformatics) Physics and Astronomy The University is located in Aarhus, Denmark, which provides international students with a safe and stable
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, Computational Biology, Bioinformatics, or a related field Strong background in immunology, including T cell biology and dendritic cell biology Experience with transcriptomic data analysis, including bulk
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advanced multi-omic / bioinformatics integrations to model and dissect human diseases. Our lab focuses heavily on inventing and refining Next Approach Methodologies (NAMs)—specifically, brain organoids
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post holder is expected to hold a PhD degree in Bioinformatics, Computer Science or other relevant discipline. They will have skills in deep learning for wearable data analysis. Experience of studying