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readouts Apply a wide spectrum of genetic, molecular, and cell biology, biochemical as well as micobial and bioinformatics techniques to study translational aspects of colon cancer (e.g., Cre/loxP and Flp
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Each year, approximately 6,000 people in the UK are diagnosed with multiple myeloma. Despite advances in therapy, infections remain a leading cause of morbidity and early mortality in these patients
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) or Multiple Myeloma (MM). However, in some cases like MM, there is a lack of long-term response, and in other malignant conditions, such as acute myeloid leukemia or solid tumors, the efficacy
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
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) to investigate how coastal temperate marine invertebrate and macroalgal species respond to extreme heat events, both marine and atmospheric, across multiple biological scales. You will: Conduct single-species
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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of Bergen. About the project/work tasks: Pregnancy is a unique time of life where mother and child live in symbiosis. This relationship however induces multiple symptoms for mothers including nausea, vomiting
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mechanisms of the sexual conflict and its resolution. You will combine cutting-edge bioinformatics, genome engineering, and state-of-the-art sequencing technologies to: Identify and characterise consistent
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datasets with multiple omics layers (including genomics, proteomics, metabolomics, and microbiomics) to uncover how environmental factors shape human health at the molecular level. You will collaborate
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We are looking for a motivated and computationally interested student, to work in bioinformatic project on cutting-edge metagenomics and clinical translation. In the 4-year PhD project