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of Research Experience1 - 4 Additional Information Eligibility criteria - PhD degree in chemistry/physico-chemistry of materials - Solid knowledge in chemistry and electrochemistry of solids, and/or in physical
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renewable energy, the challenge lies in efficiently converting it for use. Energy harvesting conversion is thus crucial for this transition, and advances in materials science, particularly ferroelectric
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for the position. The interested candidate should have a PhD with scientific training in chemistry or materials science. Expertise in one or several of the following skills are considered assets: confocal microscopy
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2 Apr 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher
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, chemistry, data science, and the conservation and restoration of cultural heritage. They will benefit from the laboratory's expertise in the characterization of pictorial materials, optical modeling, and
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fabrication Prototyping Electrical and electronic engineering Numerical simulation Optics Computer-aided design (CAD) Optical and electrical characterization techniques Semiconductor materials # Soft Skills
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the time of their application, a PhD degree in geology (including (bio)geochemistry, mineralogy/crystallography or experimental/isotope geochemistry/petrology), chemistry, physics or materials sciences. We
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is an interdisciplinary project aimed at developing a method for studying shelters with schematic paintings by combining archaeology, geomorphology, materials science, planetary science, cognitive
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FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in (nano)materials or chemistry. - Previous experience in synthesizing hollow fiber
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Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural