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or phase separation; enzyme organisation / metabolic engineering; artificial cells, protocells or cell-free systems; advanced microscopy and biophysical methods. The successful applicant will demonstrate
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contact and thus minimize friction and damage to the surfaces for improved energy efficiency [5,6]. To characterize these different polymer brushes, atomic force microscopy (AFM) is used, which in its
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distribution of defects within the specimen. At a finer scale, the microstructure will be analysed using: optical microscopy, scanning electron microscopy (SEM) for phase identification. These analyses will
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Application deadline: 31/03/2026 Research theme: Nuclear Materials Hoe to apply: https://uom.link/pgr-apply-2425 UK only This 4-year PhD project is fully funded by the Nuclear Decommissioning
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Bajcsy, PhD Information Technology Laboratory (ITL) National Institute of Standards and Technologies (NIST) Phone: 301-975-2958 Email: peter.bajcsy@nist.gov URL: https://www.nist.gov/people/peter-bajcsy
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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from different disciplines Contribute to scientific publications and dissemination of results ESSENTIAL REQUIREMENTS PhD in Physics, Photonics, Condensed Matter, or a closely related discipline Proven
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. Profile We are looking for a candidate who has: A PhD in Physics, Chemistry, Biophysics, or a closely related field Experience with atomic force microscopy or related scanning probe techniques Background
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forward to receiving your application! Your work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image
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validation using advanced experimental techniques (such as mass spectrometry, electron microscopy, radiochemistry and radiobiology experiments with biomolecular and biological systems such as oligonucleotides