68 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships at Nature Careers
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therapeutics. For more details see this review: https://doi.org/10.1016/j.trecan.2022.09.001 Please get in touch if you don’t have access to the review. The candidate will: Perform Oxford Nanopore sequencing
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imaging and spectroscopy of nanoparticles using advanced broad- and focused-beam transmission electron microscopy (TEM) techniques. Structure–Catalysis Relationships at the Atomic Scale Use custom
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(CeRA) specializes in research on male reproductive function. In a multidisciplinary project funded by the Federal Ministry of Research, Technology and Space (BMFTR), we want to research novel approaches
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function and structure in vivo and in vitro Apply state-of-the-art methods to analyze synaptic mechanisms and neuronal structure REQUIREMENTS: Above-average Master’s degree in a relevant field Strong
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Laurentiis Info: clinical.to[at]ssmeridionale.it Cosmology, space science & space technology [SPACE] Coordinator: prof Salvatore Capozziello Info: space[at]ssmeridionale.it Genomic and experimental medicine
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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of international scientists will guide and support PhD candidates throughout their projects. Structured mentoring and training including summer schools, industry internships, hard and soft skill workshops and
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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate
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well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning