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with such models. Experience with machine learning methods applied to biological data. Familiarity with large language model APIs and frameworks (e.g., Claude/Anthropic API, OpenAI API, LangChain
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We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly
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Department of Mechanical Engineering , we unite the power of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and collaboration, we create
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their PhD no later than 15 June 2026 are welcome to apply; however, the position requires that the PhD be successfully defended before the start date Assessment criteria The research profile of the applicant
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. A copy of your PhD thesis Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is
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of Materials and Manufacture , Department of Department of Mechanical Engineering , focused on innovative research in metal additive manufacturing. About us At the Department of Mechanical Engineering , we unite
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system, and related issues of sustainable corporate finance. We also welcome research related to the use of digital tools, greenhouse gas emission calculation practices, or biodiversity. Both critical and
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. A copy of your PhD thesis Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is
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also welcome research related to the use of digital tools, greenhouse gas emission calculation practices, or biodiversity. Both critical and more positivist research approaches can be applied, depending
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appointment’s nature as a career-development position for junior researchers, we are looking for candidates who have completed their PhD no more than three years before the application deadline. The purpose