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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
classifiers). Proficiency in programming languages such as Python, R, and experience with bioinformatics pipelines. A proven track record of scientific publications in metabolomics, AI, or computational biology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to program fluently in at least one common scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in sediment transport modeling. Preferred Qualifications, Competencies
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coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets
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confidence to Dr Maria R. Aburto, Email: maria.rodriguezaburto@ucc.ie Applications must be submitted online via the University College Cork vacancy portal (https://ore.ucc.ie/). Queries relating to the online
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experience: Essential criteria PhD in neuroscience, neuroimaging or related discipline. Experience and knowledge of performing functional MRI experiments Proficiency in the use of statistical packages (e.g. R
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plant breeding field data collection and analysis Experience with genome-wide genotyping data, quantitative genetics, and genomic selection modeling, bioinformatics, proficiency in R and/or Linux command
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system’ of antibiotic R&D. It focuses on the actors and stakeholders seeking to develop a radically altered antimicrobial innovation ecosystem by establishing alternative frameworks for biomedical research
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combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets
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.; Doultsinos, D.; Pineau, R.; Sauzay, C.; Koutsandreas, T.; Langlais, T.; Carlesso, A.; Gkotsi, E.; Negroni, L.; Avril, T.; Chatziioannou, A.; Chevet, E.; Eriksson, L. A.; Guillory, X. A Novel IRE1 Kinase