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Program 2024-2025! We are thrilled to announce that Research America’s Civic Engagement Microgrant Program , now in its seventh year, is currently accepting applications for the 2024-2025 cohort
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer
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development, computational tool implementation, and validation with experimental partners. The PhD positions are initially limited to three years, the Postdoc positions to one year with option for extension
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics headed by (Prof. Dr
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics headed by (Prof. Dr
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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of China, Sub-projects of the National Science and Technology Support Program, the National Spark Program, and Key R&D programs in Hainan, Guangxi, and Jiangsu provinces, as well as industry-funded
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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algebras and quantisation, and applications to Physics such as computation of scattering amplitudes. Successful applicants will be offered great research opportunities in an excellent working environment
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and