19 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"ISCTE-IUL"-"ISCTE-IUL" positions in Saudi Arabia
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are looking for someone with proven experience in semiconductor device fabrication and characterization. Responsibilities Development and optimization of silicon heterojunction solar cells at different levels
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The Program Manager, Community Development is responsible for leading the planning, development, and execution of strategic community programs, initiatives, partnerships, and engagement activities
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The Procurement Development Lead shall support the Director of Procurement and Supply Chain in advancing the procurement and supply chain department by focusing on the optimization and continuous
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government, NTI drives the development of largescale national initiatives and deep-tech innovation to align with Vision 2030 and Research, Development, and Innovation (RDI) priorities. The Institute’s
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for characterization of interfaces in non-conventional configurations, including ultra-low loading and/or curved configurations. Contribute to the development of new interphase concepts for the toughening or challenging
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on the development and implementation of new workflows for the mineralogical and geochemical characterization of ore materials, using combined µXRF-mapping, SEM-based automated mineralogy, and laser ablation ICP-MS
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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the development of patent applications. About MCEM laboratory The Mechanics of Composites for Energy and Mobility Laboratory (Composites Lab) is located at King Abdullah University of Science and Technology and is
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family of printable high-gauge factor wireless sensors by building and extending our related background intellectual property. Responsibilities : Collaborate with the development of a new family of RFID
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling