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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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training, understanding and skill set in this expanding field. By integrating these approaches, you will provide insights of unprecedented detail, spanning from the cellular to the atomic level, from in vivo
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team up on the perovskite side with Prof. Garnett’s group and connect to ongoing projects on light driven chemistry in Prof. Ehrler, Prof. Alarcon-Llado and Prof. Polman groups. You will also work
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beyond. For more information, see www.optomechanics.nl . Qualifications We seek an excellent candidate with a background in physics or photonics engineering and relevant experience with machine learning
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launched by a member of our team (Prof. Kiers) see here for a recent feature in Science . For further information on the project, contact Tom Shimizu ([email protected] ). For more information about research