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English (written and spoken) Knowledge of programming languages commonly used in bioinformatics (R, Python, Bash/Shell/PowerShell scripting) will be an advantage
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programming language (e.g., Python) are required. Preferred qualifications include: • Proficiency in additional languages besides English. • Participation in international research networks in Ambient Assisted
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analysis, causal inference, and spatial statistics; And hands-on experience with data analytics, scientific programming tools such as Stata, R, Python, Stata … • Experience in communicating (orally and in
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interpersonal skills with the highest ethical standards. You may also have Expertise in functional genomics data analysis. Scientific programming skills, including knowledge of R, Bash and Python languages
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Engineering, or a related field • Strong programming skills in C++ and Python • Excellent design and problem-solving skills Preferred Skills: • Experience with network simulators (e.g., NS-3, NS-2
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, Computer Engineering, or a related field • Strong programming skills in C++ and Python • Excellent design and problem-solving skills Preferred Skills: • Experience with network simulators (e.g., NS
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Defined Networking;Network architectures, management, and control Preferred Skills: • Programming proficiency in Python/C++ • Experience with network simulators (e.g., NS-3, NS-2, OMNeT++) • Basic
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• Software Defined Networking • Network architectures, management, and control Preferred Skills: • Programming proficiency in Python/C++ • Experience with network simulators (e.g., NS-3, NS-2, OMNeT
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on Node.js/Express, Python FastAPI, Celery; Databases: MySQL, MongoDB, Neo4j; CICD and sw management tools: GitLab; Containerization and orchestration: Docker, Docker Compose, Kubernetes; Security: OAuth 2.0
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languages such as: Python, R, Java and/or C/C++ Proven ability to acquire research funding and project management Proven ability to publish in relevant scientific journals as lead author Good understanding