82 parallel-computing-numerical-methods-"Simons-Foundation" positions at Aalborg University
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, primarily in tropical and subtropical regions, with a strong focus on hydronic cooling. The research will centre on developing and applying machine-learning methods grounded in control and game theory
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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programme Electrical and Electronic Engineering; as per December 1, 2025, or as soon as possible thereafter. The duration of the position is three years. In electronic engineering, Aalborg University is known
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The Department of Computer Science at The Technical Faculty of IT and Design invites applications for PhD stipends on one of the topics of Digital Twins and Hierarchical Multi-Agent Safe
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, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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environment. This includes developing low embodied carbon materials and solutions, and extending the lifetime of structural components. Specific fields of interest include simulation methods, computational
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nexus supported by data-driven methods. This is a full-time position, expected to start on 1st of February 2026 or as soon as possible thereafter. This position is a six-year position as an assistant
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method development and DNA library preparation for Oxford Nanopore sequencing. Large experience in bioinformatics, machine learning and high-performance computing. Furthermore, excellent written and oral
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the interplay between qualitative and quantitative methods and data. There is a growing focus on novel computational methods such as NLP, machine learning, and AI within the group. Teaching activities in