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of Political Science including academic, teaching, and research staff, professional services, and MPhil/PhD students (for an overview of our research, see https://www.ucl.ac.uk/drupal/site_political-science
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 2 months ago
for de Novo Protein Design. Your tasks Design of generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional molecules Engage with our
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. The capacity of neurons to represent and retain information is gauged from the structure and behavior of resulting circuits. Keywords: computational neuroscience, theoretical neuroscience, brain science
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will apply advanced electron microscopy techniques, including STEM to investigate the structure and behaviour of catalytic nanomaterials critical for green hydrogen and energy technologies. The candidate
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Analytics develops X-ray methodologies for understanding structural behaviour in materials science. We focus on the evaluation of the structure – property relationship in applications such as biomedicine and
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results. Methodology The post-doc researcher will be responsible for a set of TCAD simulations with the Synopsys SENTAURUS tool on a simple (reference) FD-SOI MOSFET structure to obtain: 1
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students. YOUR TASKS The above-mentioned project is a research project funded by the Research Foundation – Flanders (FWO Vlaanderen). The project is carried out at the Department of Structural Engineering
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or Departmental Website: https://earlychildhood.stanford.edu/ (link is external) How to Submit Application Materials: Please fill out the application form and submit materials at: https
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behaviour and societal structures. What makes our faculty unique is the diversity of research topics, the various styles of teaching, and the way professional support is organized; this provides you with
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recommendation letters etc. The job start date is negotiable. Additional comments Mentor: Jan Bauer, Faculty of Electrical Engineering, Department of Electric Drives and Traction ORCID: 0000-0002-0657-1213 https