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, compromise privacy, or circumvent alignment safeguards. In this project, the PhD student will investigate the protection of AI models at runtime, addressing multiple stages of the inference pipeline
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and other key actors, the project explores which governance models and policy instruments are most effective in achieving multiple objectives. The goal is to generate new knowledge about how forest
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independently and as part of a team The following are considered to be a merit: Good knowledge of single cell and spatial sequencing Pedagogical training Leadership training Terms of employment This is a
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, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your
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and prioritize CRMs that may pose environmental risks in Sweden, inspired by the assessment model developed by the USGS. - Integrate multiple lines of evidence, including data on the occurrence of CRMs
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of next-generation sequencing (NGS) datasets, such as RNA-seq, ChIP-seq • Microscopy techniques, including confocal and fluorescence microscopy • RNA biology and gene expression Eligibility Doctoral
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environments, and you collaborate well with others. You are also very flexible and can complete diverse tasks within multiple projects. You have a positive attitude and are willing to assist (and be assisted by
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induction. You will combine advanced genetic engineering approaches with survival assays, fluorescence-based techniques in fixed and live cells, single-cell sequencing, and computational bioinformatics
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Cultivation of various cell types FACS and cell sorting Molecular techniques such as genotyping, RNA sequencing, ATAC-seq — depending on project requirements Data analysis Additional responsibilities include
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multiplex immunofluorescence imaging, cytokine profiling, single-cell RNA sequencing and spatial omics. The scope of tasks may broaden depending on the development of the project. Teaching may be included in