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Field
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ENVIRONNEMENT DE TRAVAIL(structure d’accueil du
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Recombination team is a multinational team (France, Switzerland, Italy, India) composed of three researchers, two engineers, one PhD student, and several master students. The working language is English. The
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, attached mainly to Section 34 (Language Sciences) and secondarily to Section 26 (Cognition, Brain, Behavior). It is a multidisciplinary research unit in Cognitive Sciences. The PhD candidate will join the
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engineeringYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in bio-informatics, biophysics, biochemistry, biology, physics, chemistry, mathematics, informatics or related
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, Conda, HPC-type computing clusters, etc.), as well as interfacing tools applied to genomics operating systems (workflow engine). Interpersonal skills ● Language skills: very good level of English and
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for the PhD programme, you must have completed a degree programme, equivalent to a French master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g., in history
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LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications PhD in ecological, marine or computer science with skills in python and/or R, QGIS, database and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We invite applications for a fully funded PhD position
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Minimum education and/or experience required: PhD obtained less than 3 years before date of hire in Computer Science, in one of the following areas: Data Science, Artificial Intelligence, or related field
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science or computational linguistics focused on natural language processing. Two to five years of experience is required. Experience in the civil service would be appreciated. Solid experience with neural language models