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such as articles and your PhD thesis (provide an English summary if the thesis is not in English) that you have authored or co-authored. The following experience will strengthen your application: A doctoral
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to the faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Good oral and written presentation skills in English language. Good theoretical background in electrochemistry and electrochemical processes Knowledge
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LanguagesENGLISHLevelExcellent LanguagesGREEKLevelMother Tongue Research FieldEngineering » Design engineering Internal Application form(s) needed Proposal Template and Processing Personal Data_elke_9.pdf English (743.76 KB - PDF
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to apply Website https://www.univr.it Requirements Additional Information Eligibility criteria a)Title of Phd, namely to be enrolled in the third year of doctoral studies, as long as the achievement
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of constructing lexical-encyclopaedical repertoires of humanist Latin. Where to apply Website https://www.univr.it Requirements Additional Information Eligibility criteria a)Title of Phd, namely to be enrolled in
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with evidence of successful goal-setting and team performance. Academic Excellence: A PhD (or equivalent expertise) in English and/or Creative Writing (or related subject). Professional Profile: A strong
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representations (embeddings, inter-variety alignment), detecting and quantifying dialect proximity/distance, and evaluating the impact of this variability on natural language processing tasks. • Analysis
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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English to derive the full benefit from the network training as secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden
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record in one of the following AI specialisms Natural Language Processing and Large Language Models, Distributed and Collective Artificial Intelligence, Reinforcement Learning and Multi-agent Reinforcement