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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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the monomers are reversible, making these polymer materials adaptive, healable, easy to process and recyclable. In this project, you will explore new types of stimuli-responsive supramolecular polymers
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bioinformatics, AI and ML software tools to integrate and process the datasets quickly and efficiently. You will also work closely with other computational and experimental biologists to uncover new insights
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strong guidance from academic supervisors as well as from industrial experts. Responsibilities and qualifications Polishing is one of the last steps of the manufacturing process chain for industrial tools
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universities, and three research and technology organizations. This PhD project is focused on glass cutting, where large, laminated glass panels are cut to sizes for window production. The process involves pre
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Confederation of Professional Associations (AC) and Job Structure for Academic Staff at Universities. Application procedure After the deadline for applications the Dean will shortlist applicants for assessment
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questions about the recruitment process, please contact HR Coordinator Mette Fisker Præstegaard, Email: mfp@au.dk Place of work Department of Political Science, Bartholins Allé 7, 8000 Aarhus Formal
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Job Description Imagine a world where food production harmonises with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems
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, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab
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that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co