39 assistant-professor-computer-science-data-"https:"-"https:" positions at ICN2 in Spain
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committees to complete the strategy of a new scientific topic, called data-centric materials science. Requirements: 1. Education: Degree in Computer Science, Engineering, Mathematics, Physics, or equivalent
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. Requirements: Education: B.Sc. and M.Sc. in Physics, Materials Science, Chemistry, Computer Science, or related disciplines. - DFT-based methods and molecular dynamics. - Machine learning, and data analysis
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areas of nanoscience and nanotechnology. Job title: Postdoctoral Researcher in Altermagnetic Spintronics Research area or group: Physics and Engineering of Nanodevices Description of Group/Project
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
different areas of nanoscience and nanotechnology. Job Title: Research Engineer - Tools developer for LSQUANT platform Research area or group: Theoretical and Computational Nanoscience Group Description
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beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
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areas of nanoscience and nanotechnology. Job Title: Postdoctoral researcher Research area or group: Nanostructured Materials for Photovoltaic Energy Project title: Synthesis and Engineering of Pb-free
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: Conducting synthesis experiments of PtAg nanoparticles through galvanic replacement and related wet-chemistry routes. Performing image analysis of transmission electron microscopy (TEM) data to quantify
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areas of nanoscience and nanotechnology. Job title: Research Assistant - Nanobioelectronics and Biosensors (2 vacancies) Research area or group: Nanobioelectronics and Biosensors Group Description
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PhD position funded by AEI agency (Spanish Government) TOPIC: Magneto-ionics for information technologies: secure and energy-efficient memories and advanced computing A PhD position is available
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(S)TEM. Requirements: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods