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implementation, ideally interpretable ML and/or generative AI, is required. Application to bioinformatics is a plus. About the employment The position involves full-time employment for a minimum of two years and a
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Communications 2019; Lock et al., Nature Cell Biology 2018). The successful candidate will have the opportunity to work at the interface of bioinformatics, cancer biology and tissue mechanics in a creative and
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colleagues at Lund and international collaborators to establish single-cell or single-nucleus RNA-seq transcriptomic sequencing pipelines. They will use bioinformatic approaches to analyse the resulting data
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and summarize results, publish in scientific journals, and contribute to the supervision of students. Your profile PhD degree in bioinformatics, machine learning, computer science, biochemistry
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to independently drive research projects, analyze and summarize results, publish in scientific journals, and contribute to the supervision of students. Your profile PhD degree in bioinformatics, machine learning
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RNA-seq transcriptomic sequencing pipelines. They will use bioinformatic approaches to analyse the resulting data and in situ hybridization (including HCR) to localise cell types of interest in the eyes
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candidate will work in an interdisciplinary environment combining bioinformatics, cancer immunology, and clinical research, and will interact with researchers at Örebro University as well as collaborators in
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and integrative (proteo-)omics expertise in the lab, guided by leading experts in terminomics, systems-level data analysis, and structural bioinformatics. Your profile A PhD in biology, biochemistry
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and disease resistance. The research methodology is mainly based on different molecular biology tools including sequencing and bioinformatics. Key Responsibilities: Conduct research focusing on how
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tools including sequencing and bioinformatics. Key Responsibilities: Conduct research focusing on how nutrition and management influence metabolism, immune function, microbiome and resistome in pigs