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more than one fixed term position as a Postdoctoral Research Fellow at the same institution. The position's field of research The position will focus on bioinformatic analyses of shotgun sequence data
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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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- will be collected in a long-term monitoring plot in a forest near Oslo. The samples will be analyzed using high-throughput DNA sequencing, including DNA metabarcoding and population genetics/genomics
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embryos at the systems scale. Projects will comprise such approaches as (1) obtaining reference genome and transcriptome sequences for local species and populations; (2) Profiling embryonic development in
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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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://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