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techniques to monitor protein-protein interactions and prior knowledge of these is an advantage. Your profile The applicant must have a relevant PhD in structural biology or protein biochemistry. Who we
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the challenges of the construction sector and society in relation to the green transition. AM2PM - Additive to Predictive Construction using Learning by Printing and Networked Robots This Postdoc will have an
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should hold a PhD in Electrical or Electronic Engineering (completed within the last 5 years) with strong experience in CMOS IC design. The ideal candidate has: Strong background in analog and/or mixed
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, constructive in feedback, and willing to contribute to a positive, creative and productive research culture in the iGRIDS group and the wider department. You must hold a PhD in Energy Engineering, Electrical
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serving (Ray/VLLM), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression Extensive knowledge of agentic AI systems research, engineering and
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qualifications: As a formal qualification, you must have a master’s degree or PhD degree (or equivalent) in engineering or equivalent within the area of bioinformatics, computational biology, or a related field
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inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation and maintenance prediction and integrate analytics
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. Who are you? You have a background in physics, engineering, geoscience or other related natural sciences. You hold a PhD in glaciology, geophysics, physical geography, oceanography, or a related field
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, materials science, and artificial intelligence. What we expect Applicants should hold a PhD in electronic engineering (the degree should have been completed within the last 5 years at most): Strong background
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied