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, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing to a
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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is far beyond in-situ observational networks. However, the accuracy of satellite retrievals depends on several assumptions leading to biased observations. The aim of the PhD-project is to overcome
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Python and C++, with solid experience in scientific computing and software development; familiarity with Linux environments Excellent collaboration and communication skills and enjoyment of working in
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, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills
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programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills You enjoy to work within a diverse team in an international and interdisciplinary environment Very
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out research, working projects in Germany and to maintain contacts as part of DAAD's global alumni network. The programme will be discontinued on 31 December 2025. Applications are no longer being
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of study. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if you have gained a first university degree in the field of the Performing Arts at the latest
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requirements, see below): Jordan University of Science and Technology, Irbid (JUST) M.Sc. Computer Engineering* M.Sc. Network Engineering and Security* M.Sc. Radiologic Technology** M.Sc. Medical Laboratory
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regional networking of partner institutions and partner universities To achieve these long-term impacts, the following outcomes have been formulated as programme objectives: Programme objective 1: Graduates