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, to better understand the diversity and evolution of epigenetic modifications in eukaryotic microbes (protists). During his/her PhD, the candidate will take part in 1) preparing genetic material (RNA and DNA
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heterogeneity using computational analysis of cutting-edge sequencing datasets. Qualification The successful candidate should hold a recent PhD, have a track record of creativity in developing analytic strategies
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or equivalent Skills/Qualifications Qualification The successful candidate should hold a recent PhD, have a track record of creativity in developing analytic strategies, and a strong foundation of knowledge in
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FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria The applicant must hold a PhD in neurosciences or related field, and qualification for animal experimentation. We search
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Eligibility criteria --The candidate must hold a PhD with skills in fluid mechanics, soft matter and/or filtration processes. Experience in the structural/mechanical characterization of colloids and polymers
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project management courses. The project involves international collaboration. Applicants should hav a PhD degree, experimental skills and a high level of knowledge in physico-chemistry. Knowledge
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group meetings, unit seminars and international conferences Staying up to date with the literature and the latest methodological developments relevant to the project You have PhD in molecular biology or a
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of expertise and opportunities to connect and learn. The department of Computational Biology hosts multiple teams and a biostatistics/bioinformatics hub which includes over 50 PhD engineers specialized in
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physicsEducation LevelPhD or equivalent Skills/Qualifications · PhD in Materials Science, or Chemistry, or Physics, or Earth Sciences, or a related discipline, obtained in the last 3 years
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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 3 months ago
/Qualifications Profile required The candidate must hold a PhD in computer science related to knowledge modeling and reasoning. Experience in ontology engineering will be particularly appreciated. Expected skills