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engineeringEducation LevelPhD or equivalent Skills/Qualifications Who you are You hold a PhD in Computer Science, Electrical Engineering, or a related field. You have knowledge about key 5G/6G concepts such as network
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specifically about developing graph analytical methods for analyzing population-scale social networks. Embedding. The postdoc will be employed at the Leiden Institute of Advanced Computer Science (LIACS), which
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 8 days ago
of Groningen. This position is embedded within the PROVIDE Doctoral Network (https://provide-dn.eu/ ), an international doctoral training program funded by the European Union that aims to address the global
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de linguagem (LLMs), agentes e sandbox)”, ref. Projeto Interno REACT-NET/I&D+i/IPLeiria/2026, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Computer Engineer. . RECIPIENTS: Holders
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(UAVs) e redes Low-Power Wide-Area Networks (LPWAN)”, ref. Projeto Interno REACT-NET/I&D+i/IPLeiria/2026, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Computer Engineer. . RECIPIENTS
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meshes while maintaining low computational cost and high accuracy. Activity 1: Software development (in C++) within the NICE code. Activity 2: Application of adaptive mesh‑refinement methods. Activity 3
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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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opportunities to network with UK‑based and international leaders, enhancing your research profile and fostering collaborations. PhD (or equivalent) in cardiovascular research or related discipline and extensive
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, high-content imaging, data science and computational modelling are used to study the biomolecular networks governing cell fate specification and cellular behaviours, such as collective migration and
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and