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to the fields of architecture and engineering. We have developed an open-source python library called AIXD ( https://aixd.ethz.ch/docs/stable/ ) for ML-assisted forward and inverse design. In the framework
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ideal for students with strong technical and organizational skills, particularly those with experience in LaTeX and Python programming. Some background in economics is a plus but not strictly required
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skills in MATLAB and/or Python Interest in interdisciplinary research at the interface of physics, engineering, and life sciences Independent, creative, and motivated personality with excellent
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-applications in the field of engineering. You would like to deepen your abilities in the demanding field of production engineering. You have experience programming Python including git. You have a very good
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, positive attitude, and passion of research. Preferred Qualifications Interest in carbon crediting, carbon offsets, and the world of carbon finance. Competency in using a programming language (R, Python
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(MSc., M.Eng. or equivalent) in Computer Science or related field Requirements for the position: strong programming skills (C#, Unity3D, Python, JS) experience with interactive system prototyping, AR/VR
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histological datasets. Programming skills in languages such as R and/or Python. Experience with colorectal cancer research is an advantage. Ability to work independently and collaboratively in a fast-paced
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of the design space, aiming to improve the interpretability and understanding of the possibilities and limitations of the problem. This involves implementing additional embedding models in the AIXD Python core
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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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health. She or he will be experienced with Python programming for bioinformatics software development, collaborative development on GitHub, and comfortable coordinating with a collaborative team of