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Field
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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(interactive phylogenetic trees, Sankey diagrams). Report generation and statistical analysis • Statistical analysis of viral abundances (Wilcoxon, ANOVA), regression models (R, Python: statsmodels, scikit-learn
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bioinformatics, particularly single‑cell RNA‑seq, multi‑omics, and spatial transcriptomics analysis. Specific Requirements Proficiency in Python and R; familiarity with common bioinformatics tools and pipelines
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, granularity, semantics, attributes) using QGIS and Python for data exploration and preprocessing - designing an approach for automatic change detection using AI techniques (classification, clustering
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desirable: microwave engineering, confocal microscopy, scanning probe microscopy, magnetic resonance spectroscopy, and scientific programming in Python. Prior experience with hardware electronics such as
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analysis. - Adapt the team's existing data analysis protocols as needed. Expertise in coding (Python, ImageJ) would be a plus. - Be able to communicate research results, whether within the team
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Madagascar, and ULTIMASero, a large cohort study with collaborators in Senegal, Cameroon, and Madagascar. Required skills: • Strong programming skills (R or Python or other) • Familiarity with Git / GitHub
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» BiodiversityEducation LevelPhD or equivalent Skills/Qualifications Proficiency in the Python programming language, inferential statistics and mapping (GIS). Specific Requirements PhD in marine ecology with skills in data
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analysis across multiple neurological disease models or may focus on a specific disease of interest. Basic knowledge of Python or MATLAB programming would be highly appreciated but is not essential
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background in mathematical optimization and modeling • Excellent programming skills (Python, Matlab, Julia, or similar) • Interest in energy systems, electric mobility, and battery technologies • High level of