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and companies. For more information, see Group Learning-machines Qualifications We seek candidates with a strong background in physics, biophysics, electricalmechanical engineering, materials science
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to contribute to new technologies that realize radical improvements in the energy efficiency of information and communication technology? As part of the Dutch consortium NL-ECO on energy-efficient computing
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routinely visualize materials all the way down to the atomic level, revealing unexpected insights into the influence of chemical structure on material properties. At the same time, recent developments in
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techniques that you combine with a state-of-the-art electromagnetic solver, and you will show how these can be used to find optimal, sensitive and robust designs, within the constraints on material and
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. The need for such a technology comes from the the extreme miniaturisation of micro-electronics, which places extreme demands not just on nanofabrication, but also on inspection methods that visualize
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range of possibilities. Indeed, the ability to generate tissue-like materials from living building blocks whose mechanical and chemical interactions can be designed is a highly desirable goal of many
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and many other facilities. Qualifications You have a master’s degree in physics, chemistry, materials science, or a related field. You have very strong social, organizational, and communication skills
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candidates with a strong background in chemistry, physics, materials science, or engineering with an interest in self-assembly phenomena. Excellent candidates with training in any area of science or
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at will. The CL microscope is then operated as a quantum instrument with well-prepared initial electron states that may be entangled with materials excitations. This enables studies of optical excitations
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at will. The CL microscope is then operated as a quantum instrument with well-prepared initial electron states that may be entangled with materials excitations. This enables studies of optical excitations