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The Learning Machines group seeks motivated PhD students to join our team working on learning in physical systems. What are learning machines? Imagine your favorite artificial intelligence machine
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Are you eager to pursue a PhD on the interface of nanophotonics and highly nonlinear optics? Are you looking for a PhD project that combines scientific advances with relevance for applications? In
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As a PhD-student in our Physics of Cellular Interactions group headed by Dr. Kristina Ganzinger, you will apply state-of-the-art techniques to generate transmembrane protein mimics for communication
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current wafer metrology, wafers are inspected at visible wavelengths using dedicated grating patterns that reveal fine positional and dimensional information in their scattering spectrum. The strong desire
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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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writing of scientific papers that explain your findings. We form a lively and close-knit research group of about 10 PhD students and postdocs, which work together in small teams on various projects in a
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a scanning electron microscope (SEM) to excite nanomaterials. The oscillating electric field carried by the electron serves as a broadband (0-30 eV) excitation source with 5 nm spatial and 5 fs
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Are you intrigued by the forefront of biophysics technology – and integration with genome-wide data and AI methods? Thanks to groundbreaking advancements, we can now show the internal dynamics
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(CL) microscopy, in which we use 1-30 keV electrons in a scanning electron microscope (SEM) to excite nanomaterials. The oscillating electric field carried by the electron serves as a broadband (0-30 eV
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scanning electron microscope (SEM) to excite nanomaterials. The oscillating electric field carried by the electron serves as a broadband (0-30 eV) excitation source with 5 nm spatial and 5 fs temporal