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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
, essential for the survival of many species’ that depend on it. This ecologically critical species is also the target species of the largest and fastest growing fishery in the Southern Ocean, regulated by
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postdoctoral research position is opening to study the mechanisms underlying the response of luminal breast cancers to endocrine and cell cycle targeted therapies ● The project will involve development and
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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and to identify new therapeutic targets and prognostic biomarkers. Novel data integration methods allow to identify signatures of retinal cell types in liquid biopsies without the need for a direct
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the boundaries of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its
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information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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new therapeutic targets to improve brain function in metabolic and neurological disease. Career development is important to us, and so it is not expected that the candidate will have mastery
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identifying exceptionally motivated individuals with a Ph.D. and a background in chemical biology, with priority given to candidates with expertise in using chemical probes or protein-targeting small molecules
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entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here
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integrating several of the following components: Deep learning and LLMs for molecular biology Multi-omics datasets (e.g., TCGA, TARGET, CCLE) Single-cell and spatial transcriptomics/proteomics High-throughput