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Field
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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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sequences for local species and populations; (2) Profiling embryonic development in response to environmental perturbations using single cell genomics, (3) contributing to population and quantitative genetics
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embryos at the systems scale. Projects will comprise such approaches as (1) obtaining reference genome and transcriptome sequences for local species and populations; (2) Profiling embryonic development in
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://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models with single or multiple bacterial species under aerobic and anaerobic
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data, quality assessment/filtering, alignment and variant detection. Experience with long-read (PacBio/ONT) NGS sequencing, genome assembly and annotation Strong competence in programming (shell/python/R
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with single or multiple bacterial species under aerobic and anaerobic conditions. You will use these model biofilms to test medical implants and other medically relevant surfaces. They will also be used
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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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laboratory work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar
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– Ultrahigh-throughput exploration of metagenomic sequence space to discover and engineer novel biocatalysts and bioactive compounds, coordinated by the University of Cambridge in England. The MetaExplore
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, or projects that include multiple creative or artistic disciplines, are encouraged to apply. Applicants are also encouraged to collaborate with other relevant project partners from the public and private