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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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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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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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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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Group” (web: opeg-umu.com ), and the selected postdoc will be part of a larger collaboration, with industry and international academic actors, aimed at the development of a printed white-emitting LEC
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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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is to lead and develop an academic environment which comprises research, courses and degree programmes related to both comparative literature and subject-specific education. It is also important to
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, which involves the development of a comprehensive research activity at a high international. The assistant professor is expected to teach and supervise bachelors, masters and PhD students. The assistant
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focus on digitalization and sustainability. The project will investigate how digital tools and sustainable working methods can change construction economics and urban development. A central theme is the
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Systems, Energy Technology To accelerate clean energy transition through Positive Energy Districts (PEDs), the EU-funded EMPEDOFLEX project develops a comprehensive digital toolbox integrating machine