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will combine computational method development with experimental spatial metabolomics including signal preprocessing, machine learning, spatial statistics, image registration and interactive software
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national and international researchers. The following qualifications are an advantage Have an interest in, or potentially experience with, machine learning, large language models, and natural language
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or a related field, with an interest in AI, machine learning, and NLP. • Experience or education in health data science or a health-related field is a plus. • Strong programming skills in Python
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integration). Perception and machine learning for robotics. Software design and development (C, C++, Python), including real-time and embedded systems. UAS operations (experiments, piloting). We
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work at the intersection of thermal energy systems, machine learning and scientific AI, system modelling and identification, as well as optimization and control. Your work will focus on developing
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-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop implementation would be an advantage. You are not expected to have expertise in
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
synthesis, robotics, digital twins, and machine learning, CAPeX is redefining how new P2X materials are discovered and developed. Commitment to Diversity We value diversity and encourage applications from