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Field
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if the candidate can self-learn the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree
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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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under the supervision of a professor Write papers and present the research work to a wide audience Job Requirements: Preferably PhD degree in Computer Science or Artificial Intelligence. Strong track
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to energy-efficient artificial intelligence based on temporal neural computation. The project investigates how spiking neural networks, temporal coding, and learned neural delays can enable accurate
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with the main goal of supporting your academic and professional growth, and participation in the Amsterdam Law School's PhD training programme. CINPHIA training programme for planetary health talent
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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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Engineering » Chemical engineering Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 22 May 2026 - 23:59 (Europe/Ljubljana) Country
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member of a research group with responsibility for carrying out research in the area of parameter estimation in network time series networks. The post holder provides guidance to junior members
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 10 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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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