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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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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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of Civil and Mechanical Engineering, Section of Manufacturing Engineering invites applicants for a postdoc position in the area of a digital twin for robotic 3D printing of continuous fibre composites (CFCs
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’ creativity toward concurrent optimization of human health and energy efficiency. This postdoctoral position will help design and evaluate interactive ideation and simulation AI supports tools. You will join an
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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Disease. The antibodies will be engineered for optimal target engagement. The work involves a close collaboration with PI Dr. Simon Glerup (CSO, Draupnir Bio ApS) and Assoc. Prof. Nathalie Van Den Berge
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impact. At DTU Chemical Engineering, you will join a dynamic research environment at CERE (Centre for Energy Resources Engineering), working at the forefront of solvent development for CO2 capture. You