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, single cell sequencing, and RNA-seq. Knowledge in bioinformatics for the analysis of sequencing data is preferred. The intent of these studies is to determine the immunogenicity of tumor associated
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-synaptic elements Targeted genetic manipulations of the neurons studied Analytical activities Extraction and analysis of transcriptomic data (RNA-seq) from single cells Bioinformatic analyses related
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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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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Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
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The ideal candidate will have strong skills in experimental design, data analysis, and bioinformatics, along with excellent written and oral communication in English. Experience working with C. elegans
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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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–phenotype–environment interactions. Scaling root traits to agroecosystem processes Ideal candidates will have strong quantitative or computational backgrounds in bioinformatics, breeding, quantitative
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, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2, PyMOL, Chimera, etc. Interest in