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systemic metabolic functions in the body during aging. Using mouse models, flow cytometry, RNA/DNA sequencing, proteomics, metabolomics, immunofluorescence microscopy, HSC transplantation and assays
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, Python or Bash programming languages) as well as experience in analysing sequencing data with cluster computing environments. Experience with molecular dating methods and nanopore sequencing is considered
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sequencing data with cluster computing environments. Experience with molecular dating methods and nanopore sequencing is considered an advantage. Excellent communication skills in English, both verbal and
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techniques such as mouse models, in vivo immune cell functional assays, flow cytometry, cell biology, metabolic assays, imaging and omics-techniques (next generation sequencing). Applicants should possess a
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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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research, and more. The project aims can be addressed in the postdoctoral work relatively creatively, and diverse approaches and angles to the core themes are welcomed. The work includes: Research aligning
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to Professor Tuomo Hiippala . The project develops novel methods and resources for studying multimodality, or how humans communicate using combinations of multiple ‘modes’ of expression. These methods and
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, and diverse approaches and angles to the core themes are welcomed. The work includes: Research aligning with the above described aims: contribution to the MoreChild project conceptually
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combinations of multiple ‘modes’ of expression. These methods and resources are used to develop empirically founded theories of multimodal communication in the domain of everyday cultural artefacts. The data
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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