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University, to begin as early as July 1, 2025. Topics include the experimental quantum simulation of chemical and condensed-matter systems using 1D and 2D ion arrays, and the development and optimization
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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optimization. Together with a dedicated partner from bioinformatics you will first survey pairs of drug discovery application problems and corresponding quantum algorithms, before you focus on promising
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-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will
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on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities
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also foresees the integration of optimal working materials together with functional 5G antennas. The research to be performed will require the synthesis of chiral materials, both based on Tellurium and
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, Mohammed VI Polytechnic University (UM6P) is launching a one-year postdoctoral research position. The project focuses on testing and optimizing treatment processes that use calcium carbonate-rich materials
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researchers to develop and optimize novel techniques for the production of prosthetic devices. Responsibilities: Outline the key responsibilities of the position. This might include: Research innovative
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manufacturing of next-generation stack components. In this project, we aim to develop, optimize, and test an innovative monolithic component that aims to substitute conventional porous transport layers (PTLs) and