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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties
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Starting Date 15 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number #JOB5/2026 Is the Job related to staff position within a Research
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AI-based material modeling, focusing in particular on one or more of the following fields: AI-assisted modeling, optimization, and problem inversion in the area of material properties and processes
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scientific articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor
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The SAVP provides graduate program leaders with innovative approaches for key enrollment management processes and initiatives, which include admissions, financial aid, and registrar efforts, ensuring
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will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Closing Date: Type of Position: Professional Staff - Project/Program
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of advanced engineering methods for the virtual
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* for combinatorial solving; some details can be found below. The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description and automatically compute
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electricity markets; conducting research in nonlinear, convex, and mixed-integer nonlinear optimization; designing and implementing advanced computational and algorithmic solutions; performing computational