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or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning frameworks. Should be comfortable working with machine learning
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robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C++), skills in data analysis, and
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., in C++, Python or Matlab. Who we are The successful candidate will be hosted by the Section on AI & Sound. This section is led by Prof. Jan Østergaard. A dedicated supervisory team composed of experts
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- Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the basic concepts of quantum information and
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experiments Desirable: • Backend development (Python, Ruby, …) • Linux system administration (deployment, networking) • Experience with decentralized/self-hosted services, e.g. Mastodon, Nextcloud, Matrix
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validation of energy system solutions will be an advantage. Strong programming skills in Python, MATLAB or similar environments are required, and it will be advantage if you have worked with hardware-in
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environment such as Python, MATLAB, or R. Good understanding of hydrodynamic loading and wave–current environments (e.g., wave kinematics, high-order wave theories) would be highly regarded. Familiarity with
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delivering presentations. In addition, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with