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Field
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necessity You have excellent computer science skills (python, git, linux, etc.) . You have strong analytical skills to interpret the obtained research results. You are a team player and have strong
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of and experience with fundamental Internet protocols and functionality Systems-level programming experience Strong experience with UNIX/Linux Familiarity with current hardware and software vulnerabilities
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of image analysis in medicine Experience of programming in Matlab, software version control with Git, typesetting with LaTeX, use of Linux computers Experience with graph-based methods, and graph
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is necessary. The student is expected to have prior experience writing codes on Fortran or C/C++, and experience on Linux systems. No previous experience with machine learning is required, although it
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and their CI/CD integrations, providing well-structured code and documentation Experience in working with cloud, HPC or cluster compute resources including working in a Linux environment and command
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sequencing data. You are proficient in data analysis using R and/ or Python in a Linux environment. You are highly self-motivated, productive, and like to work in an interdisciplinary research team. We offer
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-on experience with sensing technologies, drone operations, or robotic systems Working knowledge of Linux operating systems Qualifications Hold an appropriate undergraduate, or Masters, degree in related
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of and experience with fundamental Internet protocols and functionality Systems-level programming experience Strong experience with UNIX/Linux Familiarity with current hardware and software vulnerabilities
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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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-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