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: Strong quantitative and analytical skills. Proficiency in one or more statistical or programming platforms, including R, Python, SAS, or Stata. Experience working with complex datasets and epidemiologic
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programming language (R or Python). Experience working with large environmental or soil datasets. Demonstrated experience with written and oral scientific communication. Preferred Qualifications – Experience
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. Familiarity with NGS data analysis and command-line bioinformatics (e.g., CRISPResso, Python or R). Experience mentoring students or technicians and coordinating lab operations. Special Instructions
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analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
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programming language (R or Python). Experience working with large environmental or soil datasets. Demonstrated experience with written and oral scientific communication. Preferred Qualifications – Experience
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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Proficiency in R and/or Python for data analysis is a plus Record of research productivity and publication Motivation to start or continue in benign urology research Written and verbal communication skills
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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to biological, imaging, or clinical data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with
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familiarity with large datasets such as proteomics or sequencing. Experience in epigenetics or gene regulation is a plus. Experience with statistical analysis tools such as R or Python is required (Candidates