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optimization and resource allocation schemes and algorithms for link and network optimization with hybrid fibre-FSO-RF communications. You will further augment software defined networking controllers
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Systems, or related background and strong hardware design skills. Strong background in computer architecture, digital design, and real-time systems. Knowledge of embedded systems and hardware/software co
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software such us R, Phyton or Matlab Strong communication and writing skills in English You are a team player and well organized, but also able to work independently Willingness to spend consecutive days
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faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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source programme code (preferably as a software package) Exchange within the VIDI project to embed the results in flood prediction You will work here We are the Hydrology and Environmental Hydraulics Group
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stakeholders Development of open source programme code (preferably as a software package) Exchange within the VIDI project to embed the results in flood prediction You will work here We are the Hydrology and
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from jurisdictions (e.g., Japan) that demonstrate a slant towards adopting more “developer-friendly” copyright regimes? How should we determine authorship of G-AI output and impute liability
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, bioinformatics, computer science, or a related field. Experienced programmer – You are confident in languages such as Python, Matlab or R, and you enjoy building and improving computational pipelines. Proficient
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an emphasis on software systems. Prior expertise in operating systems is desirable. Prior knowledge in quantum technologies is a plus, but not required. Quantum Network Applications The goal of this PhD