65 parallel-processing-bioinformatics Postdoctoral positions at Nature Careers in Denmark
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understanding of bone and bone diseases, as well as their treatment. DanSIC mission is to advance the field of spatial biology through innovative imaging technologies and bioinformatics, in order to provide
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-based genome editing, and bioinformatics. The lab uses diverse cell models, including embryonic stem cells and their differentiated derivatives. The research in the Choudhary group is mainly funded by
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in merging soil physics knowledge and data-driven modeling of soil processes and properties, starting
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analysis and bioinformatic methods Experience in enzyme immobilization Expertise within environmental science research and/or PFAS analysis Experience in bioprocess engineering Eager to work with master and
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Postdoc position to support international research and capacity-building projects employing elect...
assignments The successful candidate will contribute to the acquisition, processing, inversion, and interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will involve both
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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. The research environment is cross-disciplinary with PIs specialized in bioinformatics, biochemistry, microbiology, molecular biology and genetics. You will be working in a leading research group in legume
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CRISPRi-based pathway perturbation assays Analyze and interpret complex molecular datasets in close collaboration with bioinformatic experts Contribute to scientific publishing and dissemination of project
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human