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Field
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flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process development in the cleanroom Assemble and use custom test
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| Knowlton School of Architecture Administration The Ohio State University, College of Engineering, Knowlton School of Architecture is seeking a Post Doctoral Scholar. In this position, the individual will
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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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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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applied research in close collaboration with national and international universities, research centers and industries. The Division of Dynamics The Division of Dynamics, where the PhD student will be
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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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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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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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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