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Field
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characterizing microalgal protein ingredients using biorefinery sequences, ensuring high yield and multifunctionality Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at
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sequences, ensuring high yield and multifunctionality Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level The position is meritorious
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on the effective integration of renewable energy, resource efficiency, and waste reduction. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected
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Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last 3 years or to be expected in 2025. Demonstrated hands-on experience and
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the development of AI architecture for holistic genomic photosynthesis modeling. Evaluate performances of AI genomic photosynthesis models. Report advances to program management and broader scientific communities
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following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital CIM accelerator Develop efficient mapping schemes of AI workloads Identifying
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. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture for analog CIM accelerator Develop efficient mapping schemes
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productions, and finally a transversal axis around transitions. A wide range of research disciplines can therefore be funded through Bienvenüe+ such as: Anthropology, Architecture, Arts, Astronomy, Biological
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital