101 structural-engineering-"https:" "https:" "https:" "Simons Foundation" PhD positions at Nature Careers
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
and thus welcomes applications from all qualified candidates regardless of personal background. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001
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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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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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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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Space Agency (LSA), the European Space Agency (ESA) and the Luxembourg Institute of Science and Technology (LIST). ESRIC’s mission is to be an internationally recognized centre of expertise for scientific
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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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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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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