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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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research group (EMPMC lab), we have been pioneering the “Linear Embedding of Green’s Operators” method, which is an in-house domain decomposition method based on integral equations. This electromagnetic
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architectures for quantum superlattice devices, including embedded contacts and electron-transparent regions. Develop transfer and stacking processes for graphene, hBN, transition metal dichalcogenides and charge
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support recipe optimisation for well-controlled materials and processes, you will investigate whether similar methods can be applied to mechanical recycling from heterogeneous waste streams. The ambition is
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under supervision, including development of the PhD student's methodological, theoretical, analytical, writing, and presentation skills. The PhD student will utilise a range of methods including
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
transcoding techniques [6], while also integrating efficient post-sequencing data retrieval methods such as those proposed in [9]. Bibliography [1] David Reinsel-John Gantz-John Rydning, John Reinsel, and John
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organisation. Where to apply E-mail [email protected] Website https://jobs.dkfz.de/en/jobs/168859/phd-position-in-computational-biologybioinf… Requirements Additional Information Website for additional
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-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https
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. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical