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vulnerabilities and devise static and/or dynamic approaches to detect them in the code or prevent their execution at runtime. The focus will be on a fuzzing approach in a Java/Android environment. Keywords
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dynamic approaches to detect them in the code or prevent their execution at runtime. The focus will be on a fuzzing approach in a Java/Android environment. Keywords for this project: code analysis, static
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development knowledge (such as HTML 5 or Java) for front-end integration and data visualization is an added value. All candidates are strongly encouraged to submit their Master’s thesis and/or any other
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Computer Science, Medical Informatics, Business Informatics, or a related discipline Knowledge of database systems, data integration, and data warehousing Programming skills, ideally in Java and/or Kotlin Interest
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skills and programming experience, preferably in R and C++ (or Python, Java or similar); clear interest in the field of biomedical or public health research; good communication skills and excellent command
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data integration data quality data analytics programming languages (SQL, Python, Java) Complementary IT skills: machine learning image recognition sensor technologies robotic technologies
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programming and data analysis skills (e.g., Java) are an advantage We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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computer science with excellent performance? You are a highly skilled Java programmer? You have good knowledge in programming with scripting languages? You have a strong background in distributed systems, Edge
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, Creativity, Motivation towards Research. - Interest in interdisciplinary sciences and research. - Excellent programming skills in one of the following languages: C/C++, Python, Java, or R. - Fluent spoken and