153 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Technical University of Denmark
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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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will also be expected to teach and supervise students in courses and projects on BSc and MSc level as well as taking relevant courses appropriate for the graduate level at DTU. You must have a two-year
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be advancing new materials for use in molecular biology. This entails synthesis and in vitro testing. The project is interdisciplinary in nature, and the successful applicant will acquire a diverse set
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managing of Virtual Machines (VMs), and storage, Design secure and scalable CI/CD workflows, Support development and deployment pipelines, Ensure system reliability, maintainability, and compliance 2. Web
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of biosolutions and strengthen the bio-based economy. The Biofoundry is an important part of BRIGHT and ensures effective development and implementation of strain design procedures in our design-build-test-learn
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an engaging and inclusive learning space with offices, teaching, event facilities, multiple workshops, and laboratories. We have around 60 employees in three sections, with an informal and caring culture. We
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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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as the project manager of our new project DTU-UoN Partnership for Climate Innovation, Entrepreneurship and Education. The aim is to foster learning and knowledge exchange on climate solutions
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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