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, or other techniques relevant to the project) using software such as SPSS, R, Stata, or Python; (b) perform qualitative data analysis using NVivo (including coding), thematic analysis, and management
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for improving the quality and visibility of images affected by atmospheric haze. The student will gain hands-on experience applying linear algebra, image processing, and Python programming to a research problem
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. Qualifications: Adaptability and a quick learning ability to understand diverse subjects in ecology, biodiversity, and data science. Experience with biodiversity data analysis.Experience in R and python coding
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). The RAs will help us to improve an existing Python code base for creating 3D models of ancient artifacts from large datasets of 2D images. The main qualifications are prior experience working on large
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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and analysis pipelines using MNE-Python, and contributing to the analysis of pilot EEG data. The post-holder will also support the development of behavioural coding approaches for social interaction and
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Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary research. Excellent interpersonal skills
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R and Python and be highly proficient in using R for statistical analysis, bioinformatics, data visualization, and multi-omics data analysis. The candidate should be comfortable independently
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and