659 algorithm-development-"Newcastle-University"-"Newcastle-University" positions in Sweden
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Field
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is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems
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environments. This research direction demands developing novel techniques and algorithms that can enable effectively integrating sensorimotor information with learning algorithms, and, at the same time, leverage
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within LTU’s AIC³ Lab (Automation, Industrial Computing, Communication, and Control Laboratory). Subject description The research subject focuses on an integrated development of network architectures
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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
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Control Laboratory). Subject description The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling
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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
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. The research team focuses on developing novel methods to extract knowledge from data, modeling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but
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two fully funded doctoral students to join our WASP-funded project on “Automated Software Verification with Expert-Driven Reasoning”, focused on developing the next generation of AI-assisted programming
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can reduce model accuracy, especially when modeling multiple processes that interact across different spatial scales. To address this, the project will develop a new class of raster data-processing