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Field
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. Experience in biomedical imaging, particularly in vivo human eye imaging 5. Skills in signal and image analysis (e.g., using Matlab, Python, or Labview) 6. Proficient level of communication in
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include Agile methods, programming skills in C++ or Python or Rust, knowledge of concurrency techniques as well as databases and graphical user interface in web browsers, source code management using
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scientific research papers (Word, Excel, PowerPoint, CorelDraw, Adobe); basic programing skills (Python) for data analysis and presentation. Additional Information Eligibility criteria possession of a doctoral
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experience in statistical data analysis methods; 3. experience working with computing clusters and in a Linux environment; 4. proficiency in Python or R; 5. knowledge of gene expression regulation; 6. a
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skills in Python, with experience in scientific libraries such as PyTorch; Strong understanding of artificial intelligence methods, especially neural rendering; Familiarity with neural rendering, e.g
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or particle physics at high or medium energy. Very good knowledge and programming skills in C/C++ (or possibly Python). Good knowledge of CERN-ROOT data analysis packages. Knowledge of statistical data analysis
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.) * knowledge of paint inspection techniques * ability to use an Document Management System (DMS) * python programming skills * knowledge of Microsoft Office * English language proficiency at a min. level B2
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in data processing, designing or developing computational algorithms for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory
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or Python, familiarity with Bioconductor libraries, experience working in a Unix environment, and the ability to develop bioinformatics analytical pipelines LanguagesENGLISHLevelExcellent Additional
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analysis of FEM structures, as well as the ability to use programming languages (e.g. Python, MATLAB) in the analysis and visualization of technical data and numerical simulation results