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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
, development, and maintenance of robust and scalable solutions for large, collaborative research projects. This includes the ability to integrate heterogeneous data sources, support reproducible workflows, and
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student projects). Qualification You should have a background within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas
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secure and efficient procedures for managing and storing large volumes of research data in various forms. We offer this opportunity in an engaging and inspiring research and educational environment with
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fragmentation. This project seeks to overcome these barriers by integrating BIM-based energy modeling, semantic data models (Ontologies), and Large Language Models (LLM) into the control workflow. The candidate
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scope of the PhD position(s) fall within the areas of novel low-complexity neural network architectures, generative audio techniques, and the integration of large language and speech foundation models
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, electrochemical characterization, bioelectrochemistry as well as characterization of surfaces using a large range of techniques. The strong focuses of this PhD project are bioelectrochemical regeneration of NADH
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tasks The scope of the PhD position(s) fall within the areas of novel low-complexity neural network architectures, generative audio techniques, and the integration of large language and speech foundation
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Data teams of NQCP. Role Description We are looking for an experienced quantum systems modelling profile to help drive our efforts in the development of digital twins of quantum devices. In this role
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more about the department at www.es.aau.dk. Your work tasks The PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic
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be an advantage. For further information please contact Elvis Genbo Xu or Ronnie N Glud. PhD C – Importance of virus for deep sea microbial performance. This project will focus on exploring the role