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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
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address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
of “clouds”. Popular discussions revolve around the topics of data protection, algorithmic regulation, and asymmetric ‘technological dependencies’ that raise concerns around monopolies and “digital sovereignty
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes
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A postdoc position is immediately available at the Advanced Photon Source of Argonne National Laboratory. The postdoctoral appointee will develop ultrafast microscale photonics and MEMS
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 2 months ago
: variational formulation of neural network learning convergence of Langevin Monte Carlo algorithms Dissemination of research results through participation in scientific conferences, presentations, and
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activities related to externally funded projects. This may include developing and evaluating algorithms, collecting data during experimental testing, and performing other types of research. 3. Report
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software development (e.g., treatment planning tools, imaging algorithms, AI-based applications). Excellent collaboration and communication skills. Fluency in English (spoken and written); Dutch language
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured