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learning for foundation models, reinforcement learning, variational autoencoders or agentic AI. Theoretical insight into contemporary neural networks such as transformers is essential, and knowledge
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preparation of ethics applications and contribution to data management plans Working within an interdisciplinary project team Using research insights to co-develop and improve the design and communication
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centres, groups, and networks, contributing to cutting-edge projects and publications. The Department of Culture and Language is located on the island of Funen at the university's campus in Odense
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community with an open Scandinavian culture, affordable housing and living costs. For more information on the QM centre, please visit https://www.sdu.dk/en/qm. Job description A successful candidate will
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network of data sources in Europe. Creating and maintaining documentation, tutorials, and knowledge-based articles to facilitate the usage of the developed services and infrastructure. Collaborating with
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communication skills and a curiosity to understand the needs of researchers, as well as the motivation to explore and find solutions. You will be part of our Data Management Department, where we work hard to
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research insights to co-develop and improve the design and communication elements of environmental label prototypes Evaluating consumer understanding, preferences, and usability of different label formats
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
your motivation and future research plan. The position offers to: Develop and maintain local and international interdisciplinary networks Create original research of the highest international standard
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experience from research projects. Have insight into and understanding of the conditions of companies. Communicate fluently with researchers, research participants, companies, and stakeholders in both Danish
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably