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working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h/week
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experience working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h
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) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program based on Density Functional Theory, which can describe the atomic and electronic properties of systems
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, and structural complexity. A comprehensive array of characterization methods is used to elucidate fundamental nanoscale properties and understand the physicochemical transformations
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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Synchrotron developing correlative (S)TEM in-situ experiments on catalysts, from SACs to multiple types of nanostructures. This position is linked to the AMADE PID2023 project funded by AEI / MCIN, led by Prof
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functionalization of materials, especially Pb-free Metal Halide perovskites (MHPs), including all inorganic and 2D materials, and oxides. · Fabrication of functionalized Pb-free MHPs by solution processing methods
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transition metal dichalcogenides. S/he will carry out process development, documentation of processes and implement the required steps to fabricate the devices using exfoliation methods and deterministic
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characterization of polymeric nanoparticles through wet methods (oil-in-water emulsions). Expertise in films and coatings. Experience in morphological and optical characterization of the nanomaterials. Will to run
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. This contract has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101007417 - NEP. Equal opportunities: ICN2 is an equal opportunity employer