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Field
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) This PhD project aims to define evidence-based, task-specific colour vision requirements for mainline train drivers and other safety-critical rail staff. The research will focus on colour-dependent visual
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to empower younger generations to make art and culture their own. It does so by applying research methods from museum studies, psychology and educational sciences, and visual and material culture. This project
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rendering models like Gaussian Splatting; 2. Implementing advanced neural rendering methodologies; 3. Searching public databases for compound annotations; 4. Analyzing and visualizing results; 5. Preparing
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
, interdisciplinary, and case-study approaches—such as analyzing expeditions, correspondence networks, collections, and visualizations—are strongly encouraged. The position offers opportunities to work across archives
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, conduct, and analysis of interviews, focus groups, and visual methods; f) Relevant scientific activity, namely the publication of articles in international peer-reviewed journals and/or presentations
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and visualization in a Microbial Cell Atlas. This position aims to develop key software components to enable this mission. The results of this project will be used to track new pathogens, combat
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, and data visualization. Knowledge, Skills and Abilities Strong proficiency in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, matplotlib/seaborn) and data visualization tools
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their own vehicle and find their own housing for the duration of the position. QUALIFICATIONS Knowledge of computer programming language(s) for data analysis and visualization Knowledge of spreadsheet
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welfare are monitored on farms. However, many current monitoring systems rely primarily on visual or activity-based sensors, meaning important behavioural and physiological signals may be missed. Sound
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visual representation Excellent written and verbal communication skills Desirable skills and experience: Knowledge of tenement architecture in at least one case study city, or strong familiarity with