11 fully-funded-phd-program-computer-science-eth Postdoctoral positions at ICN2 in Spain
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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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, atomic force microscopy) Assist in securing funding for the group (applying for national and international research projects and awards when appropriate). Requirements: Education: Bachelor, Master and PhD
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project funded by the European Union's Horizon Europe research and innovation programme under Grant Agreement No. 101258102, call HORIZON-EIC-2025-PATHFINDEROPEN. How to apply: All applications must be made
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including contact details. Reference letters or referee contacts Deadline for applications: 27/07/2026 Funded by the European Union's Horizon Europe research and innovation programme - European Research
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· FEI F20 200 KeV STEM, EELS + EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: Education: PhD in Physics, Materials Science, Nanoscience, Computer
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years. Main Tasks and responsibilities: Group Leader tasks: We are seeking an outstanding and highly motivated scientist to lead an independent research programme in Theory and Simulation. This position
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call ICN2-SO Technology Valorisation Programme, supported by the Severo Ochoa Grant CEX2021-001214-S/MICIU/AEI/10.13039/501100011033 The selected candidate will contribute to the technical execution
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programme. Requirements: Education: PhD in chemistry, chemical engineering, materials science, biochemistry or equivalent. Knowledge: Extensive expert use of an array of physicochemical and materials
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on the project, project management and other general academic group activities. Requirements: Education: PhD with a masters in Medicinal and Biological Chemistry preferred. Knowledge: Previous experience of having
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on the project, project management and other general academic group activities. Requirements: Education: PhD in Chemistry with a masters in Nanotechnology preferred. Knowledge: Previous experience of having worked