43 component-labeling-agorithm-cuda Postdoctoral research jobs at Technical University of Denmark
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the same time develop your academic and personal skills. The Power and Energy Systems division (PES) is part of the renowned Department of Wind and Energy Systems, DTU. PES resides at two campuses (Risø and
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Effects” group, an internationally recognized research team with expertise spanning fiber design, nonlinear effects, and quantum optics. The position is part of the TORNADO project, funded to explore higher
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to wind and energy systems transition. Internationally recognized for pioneering wind technology and smart energy systems, the department is structured into four divisions: Materials and Components, Wind
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strong commitment to the green transition, especially in advanced thermal systems such as Carnot batteries, thermal storage, and high-efficiency heating. As part of DTU, you will contribute to cutting-edge
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and transformations in chemistry with broad implications on both industrial practices and society as we know it. You will play a pivotal part in achieving this exciting and challenging goal
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Integrate bioassays with optical and electrochemical detection platforms Design mechanical, electronic components and housings for diagnostic systems Collaborate with team members across disciplines (biology
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be part of, a dynamic research environment and who has a positive, supportive and creative outlook. Good communication and personal interaction skills and fluent English are essential. We offer DTU is
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) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon
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methods to enhance the understanding of the Greenland Ice Sheet, peripheral glaciers, and their contribution to sea level rise using finite element models such as the Ice-sheet and Sea-level System Model
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studies, surveys); Maintain current models and update them according to the new state of the art large LLMs; Analyze data and transform it into accessible visualizations and knowledge. As part of your