88 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions in Spain
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will learn to i) fabricate vdW stacks via exfoliation/MBE and deterministic transfer ii) pattern nanodevices, iii) quantify damping-like and field-like torques using second-harmonic Hall and optical Kerr
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proficiency in English, both written and spoken. Enthusiasm for learning and contributing to cutting-edge research is also essential. Application process: Interested candidates are invited to apply via
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website . Where to apply Website https://webs.uab.cat/phynest/ Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number
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to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and electronic
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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characterize new reticular materials (COFs), and use them as precursor for the generation of new polymers via Clip-off chemistry. The candidate will acquire a great experience in supramolecular, reticular and
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motivated, independent thinkers, who are well organised and willing to learn. Summary of conditions: Full time work (37,5h/week) Contract Length: Temporary (6 months) Location: Bellaterra (Barcelona) Salary
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skills Excellent organizational and time-management skills, including the ability to deliver timely and high-quality outputs Enthusiasm to learn new skills outside own discipline Summary of conditions