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Field
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bioinformatics, systems biology, synthetic biology, biotechnology or related disciplines. Knowledge in automated workflows for (large) data analysis, using Galaxy or similar tools. Experience in the automated
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approach combining molecular biology, genetics, genomics, epigenomics, metabolomics, biochemistry, biophysics and microscopy with bioinformatics and modelling. We work with Arabidopsis thaliana, tobacco
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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput
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on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
nextgeneration sequencing platforms, bioinformatics resources, and biosafety level 2 laboratory facilities, offering excellent conditions for doctoral training and scientific development. YOUR QUALIFICATION
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making use of the latest cutting-edge technologies. Researchers are supported by state-of-the-art core facilities which offer services in next generation sequencing, proteomics, bioinformatics, cytometry
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epidemiology, data science or bioinformatics. Job Description planning, management and organization of epidemiologic research projects in the area of molecular and genetic epidemiology (with emphasis on omics
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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | 2 days ago
sciences with expertise in molecular plant genetics, plant biochemistry, cell biology, bioinformatics, and mathematical modelling of biological processes. Details can be found at: http://www.mpipz.mpg.de
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of practice Requirements: Master’s degree or higher in Immunology, Biology, Bioinformatics, Data Science, or a related field with a strong focus on data handling Experience working with life-science or
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using quantitative and bioinformatic approaches to define genotype–phenotype correlations Characterisation of axonemal protein composition, ultrastructure, and motility defects of flagellar/ciliary