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. Substantial experience with in-vivo extracellular electrophysiology in freely behaving rats. Fluency in related data analysis (e.g., Python, MATLAB). Preferred: Expertise in one or more of the following areas
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for data analysis and visualization using Matlab or Python are expected. Special Instructions An application must include: 1. CV (including full contact information). 2. A list of publications. 3. Three
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with cell culture techniques. R, Python, or other data science tools for microbiome analysis. Publication record in peer-reviewed journals. Preferred Qualifications Experience with colorectal cancer
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bioinformatics tools for microbiome analysis (QIIME2, Kraken2, MetaPhlAn) and AMR gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
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. - Proficiency with Python and data analysis frameworks. - Familiarity with large, complex datasets and modern computational techniques. - Good written and oral scientific communication skills. • Experience
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optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent professionalism and work ethics, initiative and self-motivation. Strong ability
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research experience. Proven track-record analysing large-scale ‘omics and/or healthcare datasets, preferably in cancer genomics. Experience of advanced coding in Python or R plus Shell scripting; familiarity
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and sound judgment in data analysis and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior
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, or related field. Proficient in MATLAB and/or Python. Experience with image processing and rectification. Strong understanding of coastal and ocean wave physics. Application Requirements A complete