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and AI-assisted research methodologies, and access to state-of-the-art facilities at ICN2. The PhD researcher will collaborate closely with internal and external experts in materials chemistry, data
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administrative law and public procurement in a law firm or in the public administration/public sector. Valuable: Knowledge of Power BI Excellent communication skills in English (B2), Catalan(C2/Native), and
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well as regional efforts such as the Quantum Catalan Academy (https://cataloniaquantum.eu/ ) and the Master in Quantum Science and Technology (https://quantummasterbarcelona.eu/ ). These initiatives contribute to a
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). The objective of the project is to extend the range of operando experiments with scanning tunnelling microscopes (STM) to multiphase environments, namely solid/liquid interfaces. To answer a wide range of
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at the 'Group of Smart Nanoengineered Materials, Nanomechanics and Nanomagnetism -Gnm3' (https://jsort-icrea.uab.cat/) of the Universitat Autònoma de Barcelona (UAB). The position is in the framework
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or similar. Knowledge and Professional Experience: Programming Languages: Solid knowledge in at least one of the following environments (and willingness to learn others): Python (Django), PHP (Laravel
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internal reports and manuscripts. Requirements: Minimum (required) PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge molecular dynamics
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(including AFM, PFM); imaging of magnetic domains (MFM); analysis of bit states for probabilistic computing (Shannon entropy, bit error rate, unclonable functions, etc.); analysis of surfaces (XPS); experience
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the ALBA synchrotron nearby ICN2. State-of-the-Art Facilities: Conduct experiments using advanced magnetotransport techniques and state-of-the-art characterization (ARPES; XMCD; STEM) and nanofabrication
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applies state-of-the-art computational tools to understand and predict the properties of materials at the nanoscale. The position is part of the MAIAMI project - Multimodal Artificial Intelligence Platform