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automates building and modifying surface structures, submitting DFT calculations, post-processing electronic structure and vacancy energies, and extracting machine-learning descriptors for modeling oxygen
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and moved by laser-based optical tweezers in a closed action–perception loop. Your work will help transform current observation-only live-cell imaging microscopy into actively controllable, automated
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or more senior research positions to analyze and model the delivery of clean energy and industrial decarbonization infrastructure associated with net-zero transitions. The role will report to the Andlinger
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cost is essential for a sustainable energy and materials system. Cost reduction will come from cheaper electricity, innovation, market growth, scaling, standardisation, and supply chain development
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. The project involves large-scale analysis of high-dimensional datasets, including: single-cell and single-nucleus RNA sequencing spatial transcriptomics (e.g., 10x Genomics, Xenium) germline and somatic
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research across thermal-energy storage, heat-transfer systems, and control engineering. This includes CFD/FEA modelling using tools such as ANSYS, COMSOL or OpenFOAM, laboratory experimentation for PCM
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. The candidate will contribute to the study of collaborative business models and innovative financial solutions, with a particular focus on Sustainable Supply Chain Finance, to encourage SMEs to invest in energy
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areas of innovation in the renewable energy sector, with a particular focus on emerging technological paradigms and scientific models that support their implementation in energy systems. The activities
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the critical challenges of integrating wind energy into modern power systems, ensuring grid stability and sustainability through multidisciplinary collaboration between 8 beneficiaries and 12 industrial partners
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learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong