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Researcher (R2) Positions PhD Positions Country France Application Deadline 7 Apr 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2025 Is the job funded
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. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare models to neural data. You will test the methods
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LanguagesFRENCHLevelBasic Research FieldMathematicsYears of Research Experience4 - 10 Research FieldHistory » History of scienceYears of Research Experience4 - 10 Additional Information Eligibility criteria PhD in image
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Qualification required PhD in computational mechanics LanguagesENGLISHLevelExcellent Additional Information Benefits Gross monthly salary According to experience and funding Additional comments Academic contact
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dimensions, estimate melting and cooling times. Where to apply E-mail francois.lanzetta@univ-fcomte.fr Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Energy
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scienceYears of Research ExperienceNone Research FieldPsychological sciences » PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria A PhD in cognitive science, psychology or a
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, France for a fully funded PhD (3 year) and a postdoctoral (1 year, can be extended up to 3 years) positions, depending on the experience. The project is supported by the French National Research Agency
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, another post-doc and two PhD students performing behavioural studies in the field and in virtual reality, and a research engineer. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5169-ANTWYS
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the DAISY research team, headed by Prof. Silviu Maniu. It is made up of 4 research professors and a CNRS DR, as well as a number of PhD students, post-docs, engineers and trainees. The DAISY team works
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-bretagne/ . To be eligible, the applicant must have spent at least 18 months abroad between the 1st of May 2021and the start of the project and have less then 4 years of experience post-PhD. The evaluation