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methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent
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experience with or interest in agent-based modeling and simulation (e.g., MATSim or similar frameworks) basic knowledge of discrete choice modeling and empirical transport data analysis is desirable
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-body contributions. Tasks: Independent scientific collaboration on the above-mentioned project Data analysis and interpretation, numerical modeling, and preparation of scientific publications
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of behaviour. The applicant should have excellent programming skills, experience with behavioural data analysis, and an emerging publication record. The candidate should have a solid knowledge of the decision
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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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-time data analysis, and intelligent control strategies to advance how we cultivate microbes. If you are primarily driven by curiosity about microbial life or equally motivated to develop the tools
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plan by conducting experiments, sample and data analysis, and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher! Throughout
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technicians Image analysis using AI-segmentation algorithms Histological correlation of PET results and immunohistochemistry for tissues transduced by the vector Experimental design, realization, and analysis