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Empirical Software Engineering (EMSE). This position is funded by Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered Adoption of Artificial Intelligence for Software Engineering in
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
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characteristics, assessments committees’ configuration and process) and 2) the resulting outputs for applicants depending on grant decisions. The research will leverage artificial intelligence (AI) to optimize
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Practical and hands-on skills Who we are The Artificial Intelligence in Robotics (AiR) group, led by Dr. Andriy Sarabakha, focuses on the intersection of control systems, computational intelligence and
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strategies for energy storage and production across transmission and distribution networks. Digital methodologies and solutions that support the transition of energy systems towards sustainability (artificial