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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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. The Post Docs will be involved in all parts and activities of the research projects. The workload will be geared towards participation in coordination activities, data collection and data analysis, learning
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enthusiastic scientist with the following competencies and experience: Essential experience and skills: You have a PhD in semiconductor spin qubits or a related field You are experienced in low-temperature
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algorithms, and the integration of models and algorithms into simulation analysis. As a formal qualification, you must hold a PhD degree (or equivalent) in areas such as chemical engineering, chemistry
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and to maintain and strengthen CBS’s international research position. Qualification The applicant must hold a PhD or the equivalent. In assessing applications, particular emphasis will be placed
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the disparities. While foundation models offer great promise for creating more robust machine learning models for a wide array of tasks, it remains an open problem how to foresee their biases across that wide array
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considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing
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) Recognised Researcher (R2) Positions PhD Positions Country Denmark Application Deadline 16 Oct 2025 - 12:00 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Feb 2026 Is
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bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research