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applications supporting AR/VR/XR in the context of climate change and sustainability. Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies as
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. Documented technical qualifications: Practical experience and theoretical knowledge on/in: advanced analytical chemistry methods for organic matter characterization and pollutants measurements are highly
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structural failures. Duties We are looking for a motivated PhD student to join a cutting-edge research project. As a PhD student, you will conduct both experimental and theoretical work within the framework
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. The project is in collaboration with the Swedish stroke register and connected to health equity. The PhD students are expected to work in a multi-disciplinary research environment, including both theoretical
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to the position, e.g., around the following points: What questions are relevant to ask and why? Which theoretical approaches could inspire your work? What material would be possible to study? Apply for the position
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. The research focuses on the development of the industrial process, from need to finished product while creating added value. To combine skills throughout the whole chain distinguishes the department both
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. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. Doctoral studies require physical presence throughout the entire study period. A valid
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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120 credits or a Master’s degree (magisterexamen) of 60 credits in Materials Science, Engineering Physics, or a related field* You will need strong written and verbal communication skills in English
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aims to build predictive and physical binding models of protein – DNA interactions using high-throughput and quantitative biochemical binding data across hundreds of thousands of sequence variants