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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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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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researchers, molecular biologists, geneticists and experts in bioinformatics. The candidate will benefit from an excellent work environment including access to state-of-the-art biobanking, wearable technologies
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(An endocrine umbrella | Endocrine Medicine | UiB ). The group have members with diverse competences including clinical researchers, molecular biologists, geneticists and experts in bioinformatics. The candidate
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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
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We are looking for a motivated student to work on an interdisciplinary project that spans bioinformatics, microbiology and chemistry. In this 4-year PhD project, the candidate will explore and
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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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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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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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. Why this project? As we age, many of us face multimorbidity, where multiple diseases strike together, often driven by chronic, low-level inflammation damaging our tissues. Current treatments don’t