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Field
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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning
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(e.g., Mathematica, Matlab, Python, R), as evidenced in application materials. Demonstrated experience communicating clearly and effectively, as evidenced in application materials and peer-reviewed
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methods such as in-situ infiltration sampling, topographic and bathymetric surveying. Proficiency in programming languages such as Python and R. Responsibilities Research- Under general supervision, is
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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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in Environmental Modelling, Land Use modelling or another relevant field, with clear skills highly complementary to those of the JPP4JL research team Proven ability to write code in R or python
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and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub, containers is recommended. Familiarity with cloud technologies, databases and Pangeo ecosystems is a bonus. The Term
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communication skills, both written and oral • Strong data analysis skills, including experience with statistical software (SAS, R) • Demonstrated ability to prepare manuscripts, reports, data visualizations
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basic laboratory protocols including proper handling of mice behavior, molecular biology, data collection, and data management. • Experience with data analysis software (R, Matlab, etc.) Appointment Type
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: Proficient with Python, R, and Linux/Unix systems. Strong skills in computer scripting and pipeline development. Experience in project management Experience in network analyses. Previous post-doctoral