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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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and ongoing Master's or Diploma studies in Electrical Engineering, Computer Science, Artificial Intelligence, or a related discipline Strong understanding and hands-on experience with Spiking Neural
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The research group "Interactive and Cognitive Systems" investigates artificial and
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Max Planck Institute for Radio Astronomy, Bad Münstereifel Effelsberg | Bad Salzuflen, Nordrhein Westfalen | Germany | about 11 hours ago
project (Astrophysics Centre for Multi-messenger studies in Europe) we are looking for a post-doctoral researcher as a Support Scientist (PhD) (m/f/d) to be located at the 100-m telescope at Effelsberg
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Your Job: Join our team to manage computing time resources and projects. Your tasks include: Coordination of calls for allocation processes and computing time budgets with our European partners
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Job Advertisement 2025-05 23.07.2025 The Leibniz Institute of Atmospheric Physics (IAP) seeks applications for a Data and computer scientist (f/m/d) The position is limited to 2 years with option
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us as a full-time Research Associate / PhD candidate as part of the TUM GNI-funded research project VAULT-AI . Position overview Do you have a passion for digital construction technologies and enjoy
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Programme is a scientific visitor scheme designed to provide early-career students/researchers (prior to embarking on a PhD) with a passion for technology and tool development an opportunity to gain hands
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers a project position, subject
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the integration of both Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs). This position will involve training and optimizing these neural networks using Python frameworks, including CUDA