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organization and analysis. Qualification and skills Candidates should have good communication skills and motivation to familiarize themselves with new subject areas. The role requires both independent work and
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and 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
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for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein
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antibiotic access barriers and the analysis of incentives for the development and adoption of new antibiotics. The candidate is expected to produce a cumulative doctoral dissertation within that project
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network analyses experience is useful Experience in data analysis and scientific publication Ability to work in a team, good English communication skills A driver licence is useful Our offer We offer
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analysis using microscopy and time-resolved spectroscopy, testing reusability of heterostructures, dielectric engineering concepts, and join work with sustainability experts; acquiring knowledge and tools
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design and impact analysis, resource allocation, growth and welfare evaluation, technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer
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/div) The central task of the PRIDAS is developing and providing data science support services, processing and analysis methods, as well as management of highly complex multimodal data. Our research with
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Mathematics/ Approximation Theory to be filled by the earliest possible starting date. The Chair of Applied Mathematics, headed by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning
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successful applicants will take part in the research and teaching activities at the Chair of Algorithmic and Structural Graph Theory within the Institute of Theoretical Computer Science at TUD. The main