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. Strong experience developing, deploying, and optimizing applications and workflows in high-performance computing (HPC) environments. Demonstrated programming proficiency in C/C++ (preferred) and Python
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or related field. Research experience in computational biology, computer science, math, physics or related field. Experience with programming (C++, Labview, MATLAB, python). Experience with design
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-cell RNA-seq, bulk RNA-seq, proteomics, etc. Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control
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of these to ensure their continued secure operation is required. You can write scripts in multiple interpreted languages (bash, Python, Perl, Ruby, Go). You can build software from source and create packages
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: Bachelor's degree in a recognized field of science or related discipline. Extensive knowledge of healthcare data types, clinical topics, and scientific approaches. Proficiency with R (preferred) or Python
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techniques, distributed computing, real-time systems, data science, database systems, and/or networking MATLAB, Python, distributed computing architectures, and middleware Your working location will be full
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for AML Pattern Detection Explainable AI for Investigator Support What you contribute Strong programming skills (Python) Solid foundations in machine learning Interest in NLP and LLMs, and/or graph-based
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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, computer science or a related discipline Languages You are fluent in English Technical skills You must be able to program in python, R or a similar language Competences You have highly developed organization skills
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to improving the quality and efficiency of the consortium code base. Preference will be given to candidates with a strong publication record and proven experience in Python programming, source code versioning