17 postdoctoral-image-processing-in-computer-science PhD positions at Nature Careers in France
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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fields; orExperimental Psychology, Cognitive Science, or related disciplines In addition, the candidate should demonstrate: Experience with data processing, data analysis, programming, computational
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international conferences; Participate in strategic planning and dissemination activities in coordination with other partners. Key Skills, Experience and Qualifications MSc (or equivalent) in Data Science
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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analogues, meteorites and asteroid return samples. Research: The emergence of homochirality—particularly the dominance of left-handed (L-) amino acids in terrestrial biology—remains one of the most compelling
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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Design and conduct analyses linking vocal biomarkers to validated psychological scales (e.g., PAID, PHQ-9, GAD-7). Apply natural language processing (NLP) and AI techniques to large-scale audio datasets