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literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Working knowledge of bioinformatics and hands-on experience with next
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bioinformatics are invited to apply. The candidate will be supported by a NIH grant to explore emerging areas in regulatory T cell biology. Please contact for more details. Beyond the unparalleled benefits
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. Required Qualifications: PhD or MD/PhD, with expertise in immunology, molecular biology, cell biology, or bioinformatics. Demonstrated record of productive research and publications. Excellent written and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
biology, bioinformatics, marine biology, or a related field Strong skills in R and/or Python and custom data analysis workflows Good English knowledge (approximately equivalent to CEFR level B1+B2) A
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the interdisciplinary areas of ICT in Business, Media Technology and Creative science, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments
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either four of these bioinformatics tools: BLAST, Ensembl, InterProScan, Primer3, MEGA, MAFFT, Phytozome, Bioconductor, Geneious, Clustal Omega Proficiency in R Knowledge of plant stress biology Good
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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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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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analysis/ bioinformatic analysis is welcome LanguagesENGLISHLevelExcellent LanguagesPOLISHLevelGood Research FieldBiological sciences » BiologyYears of Research Experience4 - 10 Internal Application form(s
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing