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; energy-efficient information technologies; surface functionalization and characterization (XPS) High level of English Ability to lead specific research lines, supervise students (including PhD students
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kernels and physics-informed surrogate modeling is highly valued. Generative AI & LLMs: Ability to collaborate with and develop Agent Co-Scientists using LLMs and RAG pipelines for literature and lab-data
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the neurovascular space. Knowledge of neurovascular anatomy, acute stroke, endovascular treatments, neuroendovascular devices for the treatment of stroke. Ability to generate machine learning analysis of medical
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members and their research activities can be found on our website: https://ific.uv.es Candidate profile: Applicants should have a strong research record, demonstrated ability to conduct independent and
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, including Machine Learning Interatomic Potentials. • Other research experience will be considered. Personal Competences: • Strong commitment • Attention to detail • Demonstrated ability to work with deadlines
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methods, with demonstrated ability to implement causal identification strategies (difference-in-differences, instrumental variables, regression discontinuity, quasi-experimental designs). Proven experience
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management and ability to work to priorities. Excellent written and oral communication skills. High English level is mandatory (written and spoken) Summary of conditions: Full time work (37,5h/week) Contract
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, and discrimination-free environment, where equality is a key pillar. We value diversity, including LGTBI, and are committed to equal opportunities based on talent and ability, under the principles
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processing methods. Highly motivated and enthusiastic researcher. Strong analytical skills and a keen interest in the interpretation of complex data. Excellent organization skills, time management and ability
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groups) is desirable. A track record of publications and participation in competitive research projects, plus the ability to work collaboratively in an international, interdisciplinary team