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imaging (MRI). The position is within the Research Council of Finland (RCF) consortium project focusing on the development of low-field MRI hardware, sequences, image reconstruction and applications, in
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biology and conservation. This project combines experimental evolution, single-cell sequencing (scRNA-seq, scATAC-seq), and whole-genome resequencing to resolve the genetic, regulatory, and transcriptional
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traits – and link these traits to epigenomic variation profiled via whole genome bisulfite sequencing. The candidate will also have the opportunity to explore advanced pangenome-based methods to probe
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-C, Omni-C Experience with Python is an advantage Whole exome or/and whole genome sequencing data analysis We encourage candidates to develop their own projects and explore new research directions
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-Fabritius and funded by the Research Council of Finland. The successful candidate will work with Dr Luna-Fabritius and the project team, developing an individual research agenda aligned with the project’s
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, immunology, computational biology, or a related field. Proven experience in wet-lab techniques relevant to virology, molecular biology, or immunology. Expertise in single-cell RNA sequencing (scRNA-seq
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and the project team, developing an individual research agenda aligned with the project’s focus on early modern labour governance, coerced labour, legal reforms, patriarchal structures and police
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, grounded and human-aligned fine-tuning, test-time adaptation You will join our research team developing new methods for training and adapting large multimodal foundation models. The goal is to make
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. Expertise in single-cell RNA sequencing (scRNA-seq), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability
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vitae, including contact details for two referees. A letter of motivation specifically prepared for this role, explaining how your background and expertise align with the position. Copy of your degree