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their safety and alignment with human values is paramount. Simula Cybersecurity is looking for a dedicated researcher to lead our efforts in AI safety red teaming. This role is a chance to define and advance
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both on the sequence and structural level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and
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computational biology techniques to perform antibody design both on the sequence and structural level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody
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(Transcend). More about the position / Project description The candidate will develop and employ a variety of computational biology techniques to perform antibody design both on the sequence and structural
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that make biofloc work: using metagenomics (DNA sequencing to reveal which microbes are present and what they can do) and metatranscriptomics (RNA sequencing to see which genes are active under different
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, key terrestrial sedimentary sequences provide an opportunity for such studies. For example, shallowing-upwards emergence sequences deposited during glacioisostatic rebound indicate large-scale
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sequences provide an opportunity for such studies. For example, shallowing-upwards emergence sequences deposited during glacioisostatic rebound indicate large-scale glaciation during MIS 4. However, there is
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. The candidate will be trained in methods aimed at measuring immunological responses in tumors following radiation treatments such as flow cytometry, immunohistochemistry and single-cell RNA sequencing, all
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of aquifers in sedimentary sequences on the Norwegian continental shelf. Aquifers are part of the same pressure systems as other reservoirs and influences all subsurface activities linked to production
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interests, and how your background aligns with the project. CV: Highlighting your relevant skills, projects, and publications. Academic Transcripts: Copies of your Bachelor's and Master's degrees (and PhD