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addition, the candidate should be experienced in applying various molecular techniques such as PCR- and NGS-based methods and fluorescence in situ hybridization as well as cultivation of slow growing
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(quantitative research methods and advanced proficiency in statistical software such as Mplus, R, etc.) • Teaching experience/experience in e-learning • Experience in student supervision • Excellent
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a related discipline. You have in-depth knowledge of methods of empirical social research, especially quantitative methods and statistical data analysis. You are interested in an international
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(particularly in the context of CIRDIS and the COE) • Previous experience with art-historical methods and experience with working with archives is highly desired We also expect: • International scholarly
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disciplines. Proven initial experience in academic writing and familiarity with research methods (interest in both qualitative and quantitative methods). Didactic skills and teaching experience are advantageous
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interdisciplinary studies, or similar planning-oriented disciplines. Proven initial experience in academic writing and familiarity with research methods (interest in both qualitative and quantitative methods
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. The goal is to design innovative assimilation schemes using nonlinear approximation tools—such as neural networks, spline functions, or Gaussian random fields. The core challenge? Developing methods
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scientific and societal challenges. The project where the candidate is expected to contribute is about solving Singularly Perturbed PDEs with deep learning methods. Such equations arise in physical models
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candidate will have prior exposure to modern developments in at least one of these fields: numerical analysis of PDEs (with deterministic and/or stochastic methods), Gaussian Random Fields, mathematical
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The Ries lab is developing super-resolution microscopy methods for structural cell biology. In this project we