177 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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programmer for a research and development project on agentic AI companions, learning analytics, and data-driven educational innovation in Business Intelligence courses. About the job As a student programmer
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psychiatric and social inequality epidemiology, you are expected to conduct research at a high international level and to develop an independent academic profile through both individual scholarship and
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solutions for these challenges, we invite applications to a PhD position, aiming at designing and developing an AI-agent to detect heat stress in early stage and provide actionable recommendations to farmers
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primary tasks will be research and research-based teaching. You will teach and supervise students at Bachelor’s and Master’s level, and you will contribute to the development of the department through
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students and appearing on camera can work independently and take responsibility for developing an idea from concept to published content is fluent in English; Danish is an advantage but not a requirement It
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants
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of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have established companies to develop new medicinal treatments
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individuals, teams, AI agents, and potentially human-AI teams. You will help design and develop the platform as a research instrument and analyze the processes that shape performance. What you’ll be working
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for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) within the field of statistical and machine learning methods development for genetic analysis and causal