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software tools. An important component is also to investigate how we can improve the cooling of such systems and enhance the role of active control to further enhance the output of the system. An important
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discipline boundaries and abstraction levels is a must. Experience with control theory and spiking neural networks are a plus. Ability for collaborative work, interdisciplinary and cross-topical thinking. Very
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To unlock the potential of targeted femtoliter volume control for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis
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fixed for 2 years. Your work tasks and competencies The ideal candidate holds a PhD in robotics, mechatronics, control engineering, or a related field. They will have documented experience in autonomous
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the fields of microsystem engineering, microdevices and microfluidics, intelligent systems programming and modeling, autonomous control and computer vision are preferred. The successful candidate should be
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Science/Engineering, Chemical Engineering, Biomedical Engineering, or a related field with a strong background in Polymer Science and Technology. A good command of spoken and written English is essential
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to traditional methods of activation. A precise control of this force can be achieved when the chemical entity that is the subject of the mechanical force (a “mechanophore”) is embedded within a polymeric backbone
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setting, by developing knowledge, methods and tools for identification, control and modulation of neural, muscular and cardiopulmonary systems, cognition and behaviour, using smart sensing, novel data
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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD embodies a university culture that