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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
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education across the entire product development lifecycle, from early concepts to industrialization. Together with industry, we develop methods and tools that enable robust, sustainable products while
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-based studies of different aspects feeding into the physics potential of LDMX. This will require the use (and further development) of different simulation tools, mainly the GEANT4-based ldmx-sw framework
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the aim of developing models, tools and competitive technological solutions to support the transition in sectors such as energy, transport and heavy industry. Within a scientifically excellent environment
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setting where ideas grow into real impact. At the division of Computing Science , we advance secure and trustworthy software and systems, spanning foundations, programming languages, tools and practical
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. Yet robust simulation tools for evaluating these risks across diverse demographics remain lacking. This project proposes to bridge this gap by transferring state-of-the-art methods from humanoid
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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is to develop mathematically sound tools capable of connecting vehicle characteristics to a national CO2 emission impact and to quantify these using statistical relations. Who you are You are a