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, including a large international collaboration, offering excellent opportunities for networking with researchers and fellow PhD students, particularly in Sweden, Norway, and Portugal. Responsibilities and
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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non
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community network. Furthermore, we regularly enjoy social activities together outside of working hours. Responsibilities and qualifications The project aim to study the application of metal-organic thin films
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, including AMR genotyping and phylogenetic analysis. Development and dissemination of laboratory guidelines and reference materials for the EURL network. Contribution to technical missions and consultations
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biology and the complex protein networks that govern cell fate and function. A strong commitment to mentoring the next generation of scientists and fostering interdisciplinary collaboration is essential
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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and
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spectrum of applications ranging from aircrafts, ships, offshore structures, vehicles and energy applications. Currently the group is involved in several international research cooperation networks focused
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EURL activities - Assist in method development and validation - Contribute to technical reports, research projects, and scientific publications - Liaise with network partners across Europe as part of
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communication skills and a curiosity to understand the needs of researchers, as well as the motivation to explore and find solutions. You will be part of our Data Management Department, where we work hard to
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in the communication, analysis and execution of processes. You will be part of a team at DTU Computed supported by the Villum Synergy Fund and through the Danish Interdisciplinary Center for Digital