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for submitting applications. If awarded the contract, they must enroll for the current year in the UPV's doctoral programme for which they have been accepted (if they are not yet enrolled) and submit a copy of the
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semiconductor discovery. As part of the IRTG OPTEXC program, you will work at the intersection of generative AI, computational chemistry, molecular simulation and materials science, developing computational
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
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programming or simulation tools and practical experimentation with optics and lasers. Your benefits You will have access to the university’s staff benefits, including the opportunity for flexible multi-location
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
additional documents (in pdf format) quoting the vacancy number: Motivation letter; Curriculum vitae; Copy of master’s thesis or any other publication (if available); The transcripts of your MSc studies and
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
and application deadline Please submit a single PDF containing: A CV (max. 2 pages); A cover letter (max. 1 page) describing your motivation; A certified copy of your Master’s diploma and transcript
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combination of field linguistics, acoustic analysis, experimental linguistics, computational simulation, typology, and the historical-comparative method. The project is based jointly at the University of Surrey
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comprehensive and innovative methods to directly test palaeoecological hypotheses using both fluid dynamics simulations and experiments, which will be applicable across the study of life on Earth. https
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physical effects. The research activity will also involve the study, simulation, development, and experimental validation of signal-processing techniques and electronic circuits, with particular attention
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quantification, and structural surrogate frameworks based on Artificial Intelligence. You will develop tools that bridge from detailed simulation to rapid predictions, compute structural sensitivities, address