63 postdoc-in-nanoparticles-density-functional-theory Postdoctoral positions in Belgium
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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-katleen-de-preter-phd ). In 2022, an ERC consolidator grant was awarded to her to support the advancement of minimally-invasive assay for epigenetic tumor plasticity monitoring. The TOBI-lab is part of
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partner universities make the FDEF a dynamic academic hub at the heart of Europe. Your role The successful candidate will work under the supervision of Professor Dr Martin Stierle, with the main task
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the other team members The successful candidates will be employed at KU Leuven under the standard conditions. The fellowships provide for training opportunities, social and health benefits, and office space
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microscopy. Perform CRISPR/Cas9 gene editing to investigate the function of candidate regulators. Generate and analyze microscopy and single-cell omics datasets. Collaborate with interdisciplinary teams
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on the functionalization of materials, employing advanced characterization techniques to study how various plasma operational parameters influence scaffold properties, cellular responses, and material performance in
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sets (dynamical system reconstruction), and apply linear control theory to investigate the energy demands of the resulting network architecture. This project will support our goal of testing
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on the fundamentals of fluid flow in porous materials, particularly regarding viscoelastic and multiphase flows. To this end, you will mainly use time-resolved X-ray micro-computed tomography, e.g. to perform novel X
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. YOUR TASKS Conduct research on the role
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. Applications will be accepted until the position is filled. Job profile The successful candidate will apply linear control theory to existing artificial neural network models of working memory, task switching