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Field
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learning, new algorithms, and AI for Science. The graduate program at CMLR is an interdisciplinary, international program aimed at producing the best talents at the frontier of all disciplines where machine
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. The Nanomedicine Lab has been awarded various grants, such as the ERC Synergy SKIN2DTRONICS, the Plan Nacional project EGOLoco and others in collaboration with various colleagues and international and national
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programming, machine learning, statistics, or gravitational-wave physics will be particularly welcome. Application procedure: Interested candidates should send a CV, a short statement of research interests
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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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quantitative and programming skills (e.g. Python, R, MATLAB) Experience with large-scale or multimodal datasets is advantageous Ability to work independently in an international, interdisciplinary team We offer
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frontier interdisciplinary research and original innovation. Candidates are expected to identify national strategic needs and lead large-scale scientific research programs. Qualifications: Have made
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Center for Advanced Smart Materials (CASM), Yongjiang Laboratory (Y-Lab) | Spain | about 10 hours ago
competitive research program. We offer: • Internationally competitive salary and comprehensive benefits • Substantial, negotiable start-up funding tailored to your research vision • Guaranteed laboratory
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holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing
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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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or related discipline Languages You are proficient in English Technical skills Extensive experience with programming languages Competences Highly developed organizational skills Ability to work independently