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, material processing, and/or atomistic simulations is an advantage. Excellent analytical skills and proficiency in scientific programming (e.g. in python) are an advantage. Excellent oral and written
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at least one scientific programming environment such as Python, MATLAB, or R. Familiarity with structural degradation phenomena—including fatigue, corrosion, and biofouling—would also be beneficial
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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
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Python programming skills are also required. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a
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, Grasshopper, Python). Explore new trajectories for the advancement of AI-supported integrated architecture and its potential impact on the build environment. Contribute to developing open-source tools and code
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the interdisciplinary lab to bridge environmental concerns and creative design processes. • Investigate the creative process at the intersection of LCA, AI, and early design phases. • Merge Python-based approaches
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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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closely related field, and a solid 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
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languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred
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. - 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 computing. - Curiosity to research