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science, embeddings and software agents is welcomed. The EBU-NEO tech-stack consists of: Python, LangChain, LangGraph, MongoDB, Milvus, Elastic Search. Knowledge from the fields of media science, user
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background in robotics, autonomous systems, and/or control theory. The candidate should have good programming skills in Python and/or C++, and prior experience with robotics software frameworks such as ROS/ROS
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. sonar, DVL, SBL, IMUs, pressure sensors) is particularly relevant. Technical computing skills: Proficiency in programming (e.g. Python and C++). Familiarity with robotics software frameworks such as ROS
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insight Develop and use Python tools for EIS data processing and modeling Perform microstructural and compositional analysis (electron microscopy, XRD, Raman, EDS) Contribute to fabrication of SOE cells (3D
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding (the limitations
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processing & analysis (Python) We expect you to master the entire software development cycle, from analysis and design to programming, quality assurance, maintenance, documentation, and DevOps. We expect
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
datasets. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding
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advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience