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-learn, PyTorch) or physics-informed neural networks for thermal systems is a plus. Excellent communication and collaboration skills across disciplines. We offer DTU is a leading technical university
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contribute to other educational activities Attract research funding with support from the department Disseminate your work at conferences and peer-reviewed journals Network with international research bodies
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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reviewed scientific journals. Experience in writing grant applications. Ability to create research networks Prior knowledge about European fishery High-level written and oral communication skills with
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that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
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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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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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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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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