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, structural studies and high-throughput sequencing analyses of single cells isolated from patient samples. This position is part of a new translational research center (KG Jebsen Center for Specific Autoimmune
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into disease mechanisms, we employ a combination of biochemical assays, structural studies and high-throughput sequencing analyses of single cells isolated from patient samples. This position is part of a new
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primary objectives: Establish single‑neuron tetrode recordings in humans. Investigate how time and sequence are represented in the human brain and how these representations support episodic memory. Identify
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biochemical methods, various cell culture models, sequencing-based chromatin techniques (RNA-seq, ChIP-seq, ATAC-seq) and microscopy. Research infrastructure includes a well-equipped laboratory and access
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. Deep learning methods for cardiac ultrasound can e.g. be used for automatic measurements from image sequences, to assess im-age quality, for clinical applications, or take benefits of recent research
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. Deep learning methods for cardiac ultrasound can e.g. be used for automatic measurements from image sequences, to assess im-age quality, for clinical applications, or take benefits of recent research
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a broad range of molecular, cell biology and biochemical methods, various cell culture models, sequencing-based chromatin techniques (RNA-seq, ChIP-seq, ATAC-seq) and microscopy. Research
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://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models with single or multiple bacterial species under aerobic and anaerobic
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primary objectives: Establish single‑neuron tetrode recordings in humans. Investigate how time and sequence are represented in the human brain and how these representations support episodic memory. Identify
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large databases of biomarkers, clinical and cognitive variables, genotyping and sequencing data, and MRI brain imaging data from patients with neuropsychiatric and severe mental disorders. In addition