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. Practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended. Basic expertise with scientific data analysis. Good skills in scientific writing. We expect
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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-impact journals in the field Hands-on experience with Federated Learning frameworks. Hands-on experience with MONAI framework. Working in a Linux environment, with experience of shell scripting, cluster
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frameworks. Hands-on experience with MONAI framework. Working in a Linux environment, with experience of shell scripting, cluster, or cloud computing. Fluency in spoken and written German. We are looking
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://github.com/open-sdr/openwifi ). You are also encouraged to design higher networking layer functionality and driver in Linux environment, to fully exploit the distributed MIMO and coordinated multi-AP feature
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, but not a requirement Knowledge of programming languages such as R, Matlab or Python. Experience with the linux/unix environment and handling large datasets is a plus. A good command of English, both