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. The project offers a unique opportunity to contribute to both foundational research and practical applications. Your primary tasks will be to: Develop methods for streaming process mining of large-scale event
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the power of direct sequencing and AI to provide rapid, accurate detection and characterization of pathogens, enabling risk managers in the food industry to make better-informed decisions. Your primary tasks
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senior staff and Bachelor/Master/PhD students that is trying to establish the indispensable building blocks for the quantum technology of tomorrow. Responsibilities You overall focus will be to develop
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background in Intelligence, Security, or a similar degree with an academic level equivalent to a two-year master's degree and with an interest (and ideally some experience) in Agent-based Modelling, Simulation
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knowledge of adaptive control, machine learning and AI. But the most important qualification is an eagerness to learn the mysteries of fuel-combustion-engine interaction. You must have a two-year master's
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samples, generating robust insights into evolutionary history, population dynamics, and extinction processes. Your primary tasks will be to: Develop bioinformatics pipelines for assembling genomes from
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, alongside regulatory partners such as the Danish Veterinary and Food Administration (DVFA), to apply artificial intelligence in real-world food safety contexts. Your primary tasks will be to: Develop AI
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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The primary tasks will be to: Synthesize thin films of solid-state battery components, following established protocols. Optimize the sensing schemes of a new state-of-the-art commercial scanning NV magnetometer
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to apply if you are excited about the research area. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree