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Purpose-grown Energy Crop Physiologist – Research Assistant/Associate/Full Professor, Spring 2025 The University of Tennessee - Knoxville: Knoxville Academic Units: UT-ORII Location Knoxville, TN
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, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community ’ s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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expertise in wireless communications, communication theory, information theory, applied probability, and optimization • Excellent written and verbal communication skills Preferred Qualifications • Prior
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, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community ’ s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all
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model predictive control (MPC) methods to enable large groups of buildings to dynamically form coalitions and provide flexible energy services. Your work will incorporate advanced robust MPC techniques
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simulations to analyze and optimize hemodynamic parameters in CAD-related applications. Collaborate with clinicians to translate simulation insights into practical solutions for cardiovascular health. Develop
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Containers (e.g. docker). * Proven ability to work independently and collaboratively. * Experience with communicating results and concepts with a diverse audience including molecular biologists and laboratory
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) and the Laboratory of Renewable Resource Engineering (LORRE) at Purdue University are seeking a postdoctoral researcher to work on funded research projects focused on biofuel & biochemical synthesis
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and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on ML-based co-optimization demonstrates some