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and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 31 January 2026 (23:59 Danish time). Apply at: PhD scholarship in machine learning
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… Requirements LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelExcellent LanguagesITALIANLevelMother Tongue Additional Information Additional comments https://www.unibs.it/it/ateneo/amministrazione/concorsi
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Politics (IHP). The applicants’ PhD and research have to be clearly historical in nature. The applicants must have an outstanding research and teaching track record and have made a significant contribution
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conditions. Terms that have a gender significance are used neutrally and refer equally to men and women. Candidates whose mother tongue is not Croatian must submit proof of knowledge of the Croatian language
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on the NCN website: https://projekty.ncn.gov.pl/opisy/620203-en.pdf The project is interdisciplinary, combining field studies, environmental observations, laboratory analyses, and computational data-processing
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electronics in an ecologically, economically, and socially sustainable manner. In a range of research and academic programs, REC² unites the natural and engineering sciences with the humanities, social sciences
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of English language skills by January 8, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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quality and the innovative and creative nature of the research and professional activity of the candidates, considering the requirements and the subject areas of the specific tender procedure
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to the development of intellectual tools for the defense of natural heritage. This PhD position is part of the Cultural Heritage Outreach in RomAnce Languages (CHORAL) programme, a Horizon Europe Marie Skłodowska
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evaluation and design of processes. To bridge the gap between the continuum world of process design and the stochastic nature of molecules, the ProMote project proposes the application of classical density