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(sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R, or similar languages for data analysis
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the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
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to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment. * Excellent planning, organization and execution skills. * Positive attitude
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language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g., Git) Interest in or experience with semantic web
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and functional protein annotation (sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python in the context of physics, knowledge of Linux/Unix 3) scientific
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python, Linux/Unix environment, ROOT package 3) scientific achievements in
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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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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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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