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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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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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approaches will be developed to design molecules from scratch and are expected balance interaction with multiple targets. Specific goals are: Development of a conditional generation approach for the de novo
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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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to countless signals. While traditional approaches have uncovered much of the genetic foundation of response pathways to individual signals, how plants integrate multiple co-occurring signals on the cellular
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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