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project aims to integrate societal impact assessment of transport solutions and policies with travel behavior models. Traditionally, these models and assessment methods are developed independently and
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focuses on developing principled, scalable, and efficient methods for modeling complex temporal dynamics, with applications in probabilistic forecasting and data imputation. Possible research topics include
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-6GSAT and 6G DICE. These projects aim to shape the next generation of wireless networks by developing energy-efficient, resilient, and cost-effective 6G infrastructures that integrate terrestrial and non
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models demand vast datasets and consume extensive time and energy, creating accessibility barriers. The aim of this PhD project is to develop methodologies in AI-based precision pathology, with a focus on
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, developing LLM-driven models for decision-making under deep uncertainties. Supervision: Assoc. Prof. Zhenliang is proposed to supervise the doctoral student. Decisions are made on admission What we offer
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innovative green chemistries . The main aim of this research project is to develop protein-based catalysts that are new to nature. The research area for the PhD student includes de novo protein design, AI
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can reduce model accuracy, especially when modeling multiple processes that interact across different spatial scales. To address this, the project will develop a new class of raster data-processing
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computing, with a focus on performance analysis, development, and optimization of scientific simulation codes. The work involves applications in plasma physics, computational fluid dynamics, and molecular
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24 Aug 2025 Job Information Organisation/Company Karlstads universitet Department Karlstad University / Faculty of Arts and Social Sciences / Department of Language, Literature and Intercultural
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from a postdoctoral visit in a research environment other than the university at which the applicant defended their doctoral thesis. Experience from research and development work within industry or other