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research, analytical skills, creative thinking, ability to work in a team. -Skills and taste for programming. -Good level of English. Specific Requirements Aunque no es imprescindible, se valorará
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Job Description Are you passionate about transforming food safety through cutting-edge technology and want to apply your data science and AI skills to real-world public health challenges? This is
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future hydrogen fuel cell powered aircraft. Join our diverse and inclusive team to transform the future of aviation as part of the Centre for Propulsion and Thermal Power Engineering. Offering fully funded
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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to the offshore energy sector. A strong publication record and ability to contribute to research-based teaching are also required. Teaching will primarily be in robotics, automation, and related engineering topics
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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these qualifications: Strong analytical and problem-solving skills Excellent written and verbal communication skills in English Ability to work independently and in cross-functional teams Qualification requirements PhD
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. We are seeking one or more highly qualified and motivated candidate to join our research team. At the SDU Center for Energy Informatics, we are at the forefront of the digital transformation
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
. Organic synthesis under electrochemical conditions is a powerful tool for future sustainable chemical manufacturing, for which robust catalytic materials are of high demand. A unique platform for online
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable