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Requirements: • PhD degree in materials science, physics, chemistry or related field. • A very good knowledge of English language, both spoken and written. • Good writing skills, ability to publish and promote
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or equivalent Skills/Qualifications PhD in analytical chemistry, physical chemistry, or materials science. Solid experience in spectroscopy, imaging techniques, and electrochemistry is expected. LanguagesENGLISH
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of the ANR ERMONES project. He/she will hold a PhD in Polymer Science. Team 1, entitled “Catalysis and Polymerization Engineering,” is led by Frédéric Peruch. The team develops alternative strategies
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-Marseille Université (AMU), CNRS and Centrale Marseille (ECM). The LMA employs around 110 people, including 70 permanent staff and some 40 PhD students/post-doctoral researcher. The LMA has nationally and
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics
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foundations of feature learning in neural networks. Engage in the life of the CSD, including participating at the weekly seminars. Present results internally and at international venues; Qualifications PhD in
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communication in different navigation contexts and different types of flows. The successful candidate will be supervised by Aurore Loisy. They will join a multidisciplinary team of researchers and PhD students
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of Research Experience1 - 4 Research FieldPhysics » BiophysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Candidates must hold a PhD in organic polymer chemistry and have
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of Research ExperienceNone Additional Information Eligibility criteria - The applicant must have a PhD in physical chemistry, colloid science, soft matter physics or related fields of research - Skilled in
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ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD in materials science (physics and chemistry) and materials characterization, nanomaterials