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complex challenges in Earth system modeling and environmental monitoring by leveraging Europe's leading High-Performance Computing (HPC) infrastructures, including BSC's MareNostrum, LUMI, JUPITER, and
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with the chemical, flavor & food, medical and high-tech industries. Research is organized into four themes: Analytical Chemistry , Computational Chemistry , Synthesis & Catalysis and Molecular Photonics
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used in power system operations under uncertainty in conjunction with classical high-performance computing. Interesting directions for this project include, but are not limited to: Quantum algorithms
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computing and high-performance computing (HPC) environments. Interest in entrepreneurship, technology transfer, and translational research, particularly in AI-driven drug discovery and biotech startups
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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and characterisation. Demonstrated proficiency to carry out high quality research, and proven record of professional achievement in the relevant discipline area. Experience in bioreactor operation and
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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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learning environment, contributing to an open, collegial, and high-performing culture. Develop leadership and management capacity in line with career stage and professional development plans, taking
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, advanced computational and statistical competencies, project management skills, creativity and a high-level of conscientiousness. They should also have expertise in one or more of the following areas (and
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applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in