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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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. The most recent methodological research of the group includes algorithms for cell type deconvolution, high-resolution purification, and integration of single cell multi-omics data. This postdoctoral fellow
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Sensing (DAS) data from different locations in the Sea of Marmara region. The main purposes are (i) to compare detection thresholds between different types of instrumentation, (ii) to monitor seismic
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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Postdoctoral Research Associate Position to work on the biophysics of sequence-structure-function relationships of intrinsically disordered protein regions (IDRs). IDRs use different types of sequence-encoded
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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attacks Develop and implement ML algorithms to identify vulnerabilities and predict potential threats in supply chain systems Prepare project deliverables and disseminate results through high-quality
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care. At BRI, each individual is valued as an important contributor to our vision and mission. Consider making a difference by joining our team. Because together, we are powering possibility. To learn
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the majority are international and the working language is English. The research group of Mikkel H. Schierup currently employs six postdocs and six PhD students in a variety of projects in evolutionary genomics