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Field
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, the final version of the thesis and a complete transcript of grades on the master’s degree must be provided at the time of the interview. a solid grasp on object-oriented programming (eg. C++, Java, Kotlin
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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such as Python, C/C++, and Java. Experience with large language models (LLMs) applied to security tasks, such as threat detection or attack analysis. We regret to inform that only shortlisted candidates
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. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience
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courses of Higher Education Institutions. Preference factors: - Experience in software development based on JavaScript (ReactJS, NodeJS) and Java; - Experience with using, integrating, and developing APIs
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language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl). Knowledge of Unix operating system, terminal and bash is a plus. Experience using a compute cluster. Excellent
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languages (python, JAVA script, C++) & deep learning Technical expertise (e.g., adapting/tweaking/debugging code) Ability to create online experiments, using online platforms such as Qualtrics Contribute
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. Knowledge of cybercrime concepts and LLM prompt techniques. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with vulnerability analysis, network analysis, and cybercrime
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research within a team, and proven ability to build collaborations. Proficient in programming with Python, Java and SQL and testing using open-source tools. Understanding of database and data analysis
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with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and