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on conceptualizing, fabricating, and characterizing effective memristive devices, with the goal of forming device networks for realizing the physical learning paradigm developed at AMOLF. You will integrate
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integrating single-molecule fluorescence detection and microfluidics Implementation of data acquisition and analysis software (programming) Methodological innovation and biological applications Who Should Apply
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guidance. Networking events with like-minded individuals, professionals, and researchers in the HPC community. Alumni network. Application Visit the NHR Graduate School application website on this year’s
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
opportunities for networking with colleagues and for sports and recreation alongside your work Experienced and friendly international research team with a strong background in biophysics and soft matter Cutting
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opportunities for networking with colleagues and for sports and recreation alongside your work Excellent scientific and technical infrastructure Opportunity to participate in (international) conferences and
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transport links to the site. We have a staff restaurant with roof terrace and access to a Campus nursery and sports and social facilities. You will be eligible to join our defined benefit pension scheme, a
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements: university degree in chemistry or physics and
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feedback control, you will uncover fundamental connections between physical dynamics and neural network representations. We seek a highly motivated PhD candidate with an excellent master’s degree in physics
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ambitious start-up, working in an interdisciplinary setting and within an international network. In addition to working in a technically and academically challenging environment, you will work on a beautiful