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degree, obtained within the last three years prior to the application deadline Experience of teaching at undergraduate or master’s level, and an interest in further development within teaching and
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, etc.) development of predictive models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty
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such as the heart and nervous system, invariably with fatal consequences. The project will focus on probing the molecular factors underlying this instability (see for example https://www.nature.com/articles
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inclusive work environment with excellent opportunities for professional development. About the position Type of employment: Fixed-term employment according to the postdoctoral agreement. Scope: 100% (80
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they stand to contribute to its future development. Terms of employment Permanent employment with start on February 1st, 2026. Full time. Contact person: Prof. Tönu Pullerits, tonu.pullerits@chemphys.lu.se
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, physics-informed control, and digital twin technologies. Project description The project focuses on the development of robotic methods for plant health monitoring that combine robot–plant interaction with
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are: the interaction between plants and microorganisms, and other forms of stress; biotechnology and metabolic engineering; growth and development of plants; the regulation of gene expression; population genetics
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to enable collaborative work between the two strategic research areas eSSENCE and NanoLund (https://www.essenceofescience.se/ and https://www.nano.lu.se/ ), which means that the postdoc will benefit from
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, induce characteristic mutational signatures, and promote genomic instability, transcriptional dysregulation, and tumor evolution. The central hypothesis is that nanoplastics selectively bind to specific
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chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses that link TE‑derived cis‑regulatory elements (TE‑CREs) to gene expression divergence within