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that the successful candidate has a personality that promotes positive interactions with group members and staff. Together, we define the future of the group, both scientifically and with respect
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. Proficiency in data analysis software (e.g., R, Stata, or Python). Interest in comparative politics and political economy, preferably in European wage regulation and climate policy. Fluency in English is
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for light trapping in thin-film solar cells .” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods
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of software engineering techniques to ensure interoperability of their modelling and mining ecosystem. This position will run from October 2025 (or shortly after) and it has an expected duration of 24 months. A
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research environment with a strong scientific and social network for postdoctoral fellows and good mentoring opportunities to support individual career development. You will have access to state-of-the-art
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including research management, communication, networking, writing of manuscripts etc. Mentoring and career development in a network of national and international collaborators Research exchange to
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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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thesis project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer
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cities are known for having excellent infrastructure, for example through widespread bike path networks. We can also offer a thriving food-scene, excellent museums, and beautiful natural scenery. Terms
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mathematical ability Experience with symmetry analysis, group theory, or topological band theory Demonstrated experience in programming and contributions to open-source software Excellent communication skills