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learning. The employment is full-time for two years starting from August 1st 2025 or by agreement. Apply latest April 7th 2025. Project description Geometric deep learning refers to the study of machine
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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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position is supported by a wider project, which is monitoring ecosystem functioning in tropical montane cloud forests (TMCF). The core study site is in a Peruvian TMCF, where several large-scale experiments
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the department are a diverse group from different nationalities, backgrounds and fields. We offer very good employment conditions, and administrative and technical support, among other benefits. See more
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organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise
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these questions, we will determine RNA structures in vivo using cutting-edge transcriptome-wide RNA structure probing techniques that together with computational models and machine learning algorithms will generate
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University. Last application date is April 11th, 2025. Research description The postdoc position is supported by a new Water4All Transnational Project: Monitoring river metabolism to assess ecosystem services
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, 2018, 2018, 2025, Curr Opin Chem Biol 2015, ChemEurJ 2019, 2025, Nat Meth 2023). This project will combine CAR-T cell engineering with chemo-optogenetic systems to enable precision CAR-T therapy
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generous funding for up to 9 years, conditional upon favorable review after four years. Data-driven epidemiology and biology of infection covers research that will transform our understanding of pathogens
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proven experience, an area that has been strengthened by the national initiative ULF (Development, Learning, Research). Learn more here: https://www.umu.se/en/department-of-creative-studies/research