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of carbon materials, low-dimensional materials and others Multi-scale computation method development Data-driven experiments AI for materials science Multi-scale modeling for materials manufacturing mechanism
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the composition and function of the microbiome and how the microbiome affects the host. They will be keen to interact with other team members, including PhD students and bioinformaticians, to interchange expertise
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Disciplines for Recruitment Science and Engineering: Mathematics, Mechanics, Mechanical Engineering, Material Science and Engineering, Metallurgical Engineering, Control Science and Engineering
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interested in pursuing a PhD, to explore the evolution of eukaryotic chromatin states and components. We are looking for enthusiastic candidates broadly interested in evolutionary biology, gene regulation and
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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science, engineering, mathematics, and computer science, environment/ecology—are ranked among the top 1% of universities and research institutions globally, according to the Essential Science Indicators
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. The candidate will provide guidance and support to MSc and PhD students, assisting in the supervision and training of junior researchers in areas such as device fabrication, biosensor assembly, and
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papers. Requirements: Education: PhD in Physics or related degree Knowledge: Complex oxides (Ferroelectrics, antiferroelectric, nickelates, etc), nanomechanics, photovoltaics, scanning force microscopy
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ICFO offers a limited number of PhD positions to well-qualified applicants who wish to obtain a doctoral degree in any of the research topics available within our Research Groups . Our PhD-program
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As part of the PICs@ICFO Strategic Initiative, ICFO coordinates PIXEurope, a flagship Pilot Line funded under the European Chips JU program. With €400 million in investments and a consortium of 20