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the study of clouds and cumulus convection Strong conceptual understanding of cloud microphysical and turbulent processes Expertise in the use of modern scientific visualization software (Python, Matlab, etc
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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
: rather than developing individual materials ourselves, our focus is on building, validating, and providing the micromechanical characterization and modeling tools that different materials-development
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researcher, you will play a central role in this ambitious programme and act as a technological integrator across multiple research tracks. You will work closely with three PhD candidates focusing on different
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involved in two different projects both related to fertility. In the first, you will contribute to the project “Understanding fertility outcomes by quantifying the (un)predictable”. In particular, you will
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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to generate waves with representative tsunami wavelengths. The experiments involved the simulation of tsunami of different form and wavelengths propagating along the flume, running up a beach and interacting
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discipline. You must have experience with conducting independent research in AI or data science. You will have strong programming skills in Python and modern machine learning frameworks, experience working
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programming skills, such as Python, excellent organisational and record-keeping skills, and the ability to communicate research clearly through publications, presentations and collaborative work are essential
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programming skills in Python. Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine learning approaches