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Field
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of superconducting quantum devices require generating and acquiring microwave signals and efficiently processing the resulting data, typically using Radio Frequency System-on-Chip (RFSoC) platforms with Python-based
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training and experience in statistical analysis, coding (e.g., R, Python or similar), and Geographic IT (e.g., GIS, spatial analysis and modeling). Ability to work both independently and collaboratively
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systems Programming skills in Python Familiarity with containerization tools (e.g., Docker) Fluent in Swedish (spoken and written) As a person you are collaborative, proactive, and adaptable, with a
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considered a plus Understanding of Python scripting is considered a plus. As a person you are a strong communicator and are comfortable solving complex problems. This will sometimes require contacting system
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machine learning, AI, and software development. Strong programming skills in Python and SQL. Proficiency in modern AI frameworks such as PyTorch, TensorFlow, or equivalent. Proficiency in Linux-based
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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science, AI, or computer science. Documented experience in professional software development. Experience with programming and AI (e.g., Python, RAG, Agent System). Experience in GenAI, natural
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in Python and/or R experience using relevant bioinformatics tools or frameworks, such as Seurat, Scanpy, or similar good ability to work independently as well as collaboratively in a multidisciplinary
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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and remote sensing. Knowledge in microwave radiometry. Proficiency in Python. What you will do Take courses at an advanced level. Develop your own scientific concepts and communicate the results of your