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of digital platforms for data visualization, text analysis, and computational research and serves as a referral point for campus support • Identifies, gathers, processes, and maintains data to document and
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of the state of the art and definition of requirements; A critical analysis of existing approaches for robotic box handling, humanoid robotics, bimanual grasping, computer vision, and automation
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | about 2 months ago
Development of gene silencing tools targeted towards lncRNAs Assessing lncRNA (dys)regulation in large clinical cohorts Data analysis and visualization Presentation of research results Your profile Master's
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analysis; - Experience with scripting for automating experiments (e.g., Bash, Python) and data analysis/visualization (e.g., Pandas, Matplotlib); - Experience with Git/GitHub for code management and
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ecology. A strong quantitative mindset is essential, including good skills in data analysis using R, Python or similar tools. Experience with trophic ecology and Bayesian approaches would be an advantage
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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adaptation and human-centred design in vulnerable neighbourhoods. By combining qualitative and GIS-based mapping, community-oriented visual design engagement methods, and stakeholder analysis at multiple
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an interactive, open-access web platform for visualization and usage of multi-omics datasets Integrate newly generated data with in-house and publicly available datasets to interpret results in a robust biological
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forms of resistance, ranging from clandestine pamphlets and poetry to film and social media campaigns. Drawing on digital humanities approaches, it analyses both textual and visual data. Using digital
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in applied optimization • Knowledge of digital twins • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge