51 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Technical University of Denmark in Denmark
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intelligence while preserving human agency. The group’s research spans mechatronic system design, system modeling and learning, control theory, and system supervision, with applications across domains including
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opportunity to acquire and deepen your laboratory skills for protein production and in vitro characterization with a strong focus on innovation and industrial application of novel enzymes. Furthermore, we will
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toxicity studies, using methods tailored to specific projects in close collaboration with team members. While prior lab experience is beneficial, a willingness to learn new techniques and a results-driven
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, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees
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of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
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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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intelligence while preserving human agency. The group’s research spans mechatronic system design, system modeling and learning, control theory, and system supervision, with applications across domains including
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processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more
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to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk. Technology for people DTU develops technology for people. With our international elite research and
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Documentation of experimental procedures, results, and technical learnings Preparation and delivery of clear, well-structured presentations of plans, methods, and results to internal teams and external