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Postdoc position in method development in human statistical genetics, with a focus on classificat...
based on genetic data: “Many common diseases are highly heterogeneous, meaning that two individuals can be diagnosed with the same disease but have very different progressions or respond very differently
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based on genetic data: “Many common diseases are highly heterogeneous, meaning that two individuals can be diagnosed with the same disease but have very different progressions or respond very differently
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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employ hydrodynamic and/or Fokker-Planck codes to simulate the initial plasma expansion leading to the creation of the HOFI channel. Setting up a simulation chain integrating these different tools will be
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of different types of populations. Work closely together with a PhD candidate on the same project and provide help with setting up simulations. Investigate the trend in genetic variance and genetic correlations
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
for different tectonic contexts. • The postdoctoral researcher's work will be disseminated in the form of publications and conference presentations. Recruitment is taking place as part of the SATELLITE project
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data analysis and machine learning
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a postdoctoral fellow at the University. The individual cannot have held previous positions in the professional ranks. Preferred Qualifications Experience with NGS data analysis and Linux based HPC
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-cell sequencing technologies to study mutagenesis and tumorigenesis. Our interests include the sex-specific molecular differences in the acquisition and maintenance of malignancies, the identification