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international research. The position is a fixed-term employment for 2 years (with the potential possibility of extension). Your mission As a postdoctoral researcher in the group, you will lead a new project aimed
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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of the project How plants will respond to increasing CO2 and climatic change is a large uncertainty for ecosystems, crop productivity and climate predictions. To tackle this uncertainty, we combine: growth chamber
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pedagogy, contributing to the development of the research environment and conducting educational development activities such as teaching. Teaching may be up to 20% of employment. You will submit a project
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. Central to the research project is the study electronic structure and the dynamics occurring at extremely short time periods, down to the femtosecond time scale (10-15 s). In your research, you will be
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anticipates a postdoctoral research associate position in experimental condensed matter physics. Our research interests are superconductivity and fermion quadrupling condensates, the project is a part of a
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high temperature thermal energy storage and integrated systems. The postdoc will
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engineering aspects as well as filtering and signal processing. The work is linked to a series of VINNOVA funded projects, REDO, REDO2 and CORD. The purpose of the research is to understand how different