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Vosch, Department of Chemistry, tom@chem.ku.dk The PhD programme Qualifications needed for the regular programme To be eligible for the regular PhD programme, you must have completed a degree programme
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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice
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least one of areas like animal communication research, probabilistic modeling, or language evolution is a strong requirement. As the position involves computational / mathematical modeling in the form
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. Principal supervisor is Associate Professor Jiwoong Lee, Department of Chemistry, jiwoong.lee@chem.ku.dk, Direct Phone: +4535333312. The PhD programme A three year full-time study within the framework
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A Doctoral Research Fellowship in Machine Learning for Critical Healthcare is available at the Faculty of Computer Sciences, Engineering and Economics at Østfold University College (ØUC). The research
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both written and spoken English. French or Luxembourg language skills would be an advantage but are not required. Your LIST benefits An organization with a passion for impact and strong RDI partnerships
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advertisement About the position A Doctoral Research Fellowship is available at the Faculty of Computer Science, Engineering and Economics at Østfold University College. This PhD candidate will play a central
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
in the system; A copy of your MA-thesis or a writing sample (if the MA-thesis is not yet finished); Copies of relevant course assessments (list of grades; certificates demonstrating language
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: you.zhou@nbi.ku.dk ; you.zhou@cern.ch , Direct Phone: (+45) 93 56 36 56. The PhD programme Depending on your level of education, you can undertake the PhD programme as: Option A: A three year full-time study
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, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview As a Quantitative Research Intern at Susquehanna, you will work