17 phd-position-in-computer-vision Postdoctoral research jobs at Nature Careers in France
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-career researchers who have completed their doctorate (or PhD) and post-doctorate elsewhere than at the Observatoire de la Côte d'Azur and wish to develop their research program around the theme of Earth
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sciences and humanities. The project aims to decipher the molecular mechanisms that allow the plague bacillus (Yersinia pestis) to establish infection in its flea vector. The position is offered as a 2-year
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-source tools and has a long history in coupling natural language techniques and knowledge graphs. The R&D programme for that position includes several tasks: Generalize and abstract the bot from specific
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colour centre spins. Your work supporting and further develops the fabrication of these chips, i.e. together with 1-2 PhD students, you will work on the sample process line involving several cleaning steps
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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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Qualifications PhD in epidemiology, biostatistics, data science or comparable; Ideally, an experience working with insurance claims data; Good writing skills in English. Interest in working in an international and
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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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(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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that this will lead to a tenured position. Required Education Level or Diploma PhD, Biology Contract The selected candidate will be hired by INSERM to work at CRCI2NA under the direct supervision of Dr. David
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public engagement For further information about this position, please contact: Your profile PhD in History, Digital Humanities, Data Science, or a related field Demonstrated experience in interdisciplinary