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process development: application of machine learning and AI to analyse and optimise process parameters in high-temperature gas-phase synthesis and other advanced processing technologies; development
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model systems and human patient-derived biospecimens (organoids and T cells). The candidate should have a strong background in immunology and/or tumor immunology. Experience with T cell engineering (CAR-T
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on their potential and demonstrated skills in teaching and research. The candidates should have a solid background or experience in multi-omics data analysis, including, for example, machine learning. Additionally
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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, machine-learning, and protein design to develop novel transposon-based genome-editing tools. Located on the 6th floor of the new Inspiration4 Advanced Research Center (opened in 2021), the Kellogg lab leads
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one of the following topics: extended reality (virtual reality, augmented reality) human-computer interaction computer vision The capability to successfully conduct research projects in
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, Integrated sensing/memory/logic materials, Synchrotron light source techniques, Machine-learned force field development, Technology computer-aided design, AI hardware accelerators, Augmented reality hardware
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Learning within the Department of Education and Social Work at the University of Luxembourg. The person will be part of a team in the dynamic organisational context of a growing, globally connected research
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. Working at the interface of genetics, chemical biology, and machine learning, we discover and use small molecules to precisely disrupt the cellular machinery of pathogenic bacteria and study consequent