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Field
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and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications
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production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and
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socio-hydrosystems, from stormwater networks and surface waters to wastewater treatment plants and receiving environments. The project relies on innovative high-resolution mass spectrometry (HRMS)-based
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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electrocatalyst and enzyme immobilization, electrochemical cofactor regeneration, enzyme-electrode interface engineering, electrochemical and enzymatic testing, product analysis, spectroscopic characterization
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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place in countries of the Global South and North, as well as the processes of protection, transmission and sharing. Its analysis, conducted across various temporal and spatial scales, prioritises
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proposals, concept sheets, study protocols, analysis plans, and related scientific documents for multisite and single-site clinical and epidemiologic research studies. Conduct literature reviews and
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collaboration across organizational and national boundaries. The project combines in-depth qualitative fieldwork across the four Nordic transmission system operators with comparative analysis, contributing
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis