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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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experience with the Linux operating system is expected, because large software toolboxes are used and further developed. The working language at the institute is English. Experience with targeted and optimized
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proficiency in: Linux. git, remote computing, containerization technology. Ideally, candidates should have experience with Python, and knowledge in modern Data Science methods. Knowledge of neuroimaging
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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, in vitro transcription, northern blotting, etc.). Knowledge of UNIX/Linux computing environments and of a programming language (e.g., Perl, Python, Rust, C++, R, etc.). We offer you in accordance with
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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academic level equivalent to a two-year master's degree. Demonstrated competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a
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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