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Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven
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. Our ideal candidate has a strong interest in Applied Mathematics, possesses solid and profound background knowledge in Numerics, Functional Analysis, Stochastic Analysis, or Statistics, can easily
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. Our ideal candidate has a strong interest in Applied Mathematics, possesses solid and profound background knowledge in Numerics, Functional Analysis, Stochastic Analysis, or Statistics, can easily
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microscope. Your future tasks: Your responsibilities include advising on study design and sample preparation, imaging analysis of samples, collaborative data analysis and contributing to grant and manuscript
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on social development in older age. In addition to the content-related fit, sound knowledge in the analysis of longitudinal and experience sampling data is explicitly expected. The tasks include
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instrumental analytical methods and, on the other hand, will deal with the computer-aided analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and
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limited to 3 years, with the possibility of subsequent permanent employment. Your tasks will be: You will support the analysis of structure-function relationships in microbiomes from environmental and
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devices, photocatalytic converters – they all are crucial elements in delivering decarbonization and sustainable energy production at a global scale within the coming decades. They all fundamentally involve
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of social sciences a successful dissertation with a focus on the above-mentioned research areas proven research competence through publications good IT user skills and knowledge of social science analysis
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Prof. Torsten Möller and take over tasks like researching, teaching, collaborating with your fellows. The focus of our research is Visualization and Data Analysis. Our Team VDA currently consists of 10