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investigates how AI affects both news production and consumption and assesses the adequacy of existing legal frameworks in addressing these transformations. Read more about the project HERE . Employment can be
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potential of negative ion mode. Current proteomics workflows rely almost exclusively on positive ion mode, which leads to systematic underrepresentation of acidic peptides and other biomolecules. This project
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structural technologies, this PhD position offers a unique opportunity. Join MET2ADAPT to engage with some of the most challenging and high-impact questions surrounding next-generation wind and wave energy
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university, seeks top students for attractive PhD stipends. The call is open until 1 February, 2026, with the earliest start date, 1 May, 2026. Please find more details and apply at https://math.au.dk/en/about
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, mathematical optimization, laser physics, integrated photonics, condensed matter physics, and spectroscopy. If you are passionate about advancing nanophotonics through cutting-edge research, we warmly encourage
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whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at
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and orientation, is encouraged to apply for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons
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more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's
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more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's
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, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning