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machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative
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modifications to enhance the properties of the formulations. Proactively engage in collaborative R&D by providing solutions and demonstrating the potential of formulation chemistry in addressing important
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(especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems
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parallel, a new portfolio of clients is growing with the development of an R&D cluster around the University and a growing number of international partnerships. About the College of Agriculture and
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tools such as R packages, Phyton, and other programming languages Publications in the field Excellent communication and interpersonal skills. High motivation and interest in scientific work Applications
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: BLAST, Ensembl, InterProScan, Primer3, MEGA, MAFFT, Phytozome, Bioconductor, Geneious, Clustal Omega Proficiency in R Knowledge of plant stress biology Good communication skills in English Ability to work
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fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster around the
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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