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to analyze human gut microbiome data from large cohorts. Responsibilities Microbe-microbe and host microbe interaction analysis in multiple cohorts (n=2500) Evaluate differential fitness of specific strains in
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submissions as required for ongoing and future studies. You will generate and analyze large data assets, adapt existing and develop new research methodologies and materials. You will report research findings in
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14 Nov 2025 Job Information Organisation/Company Lunds universitet Department Lund University, LTH, Electrical and Information Technology Research Field Engineering » Electrical engineering
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experience in the field of neurodegenerative disease. Experience with curation, preprocessing and/or analysis of neuroimaging data. Ability to independently perform large-scale data analyses. Excellent
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-renal diseases. Our research spans large-scale register and laboratory data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor
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original research papers in leading peer-reviewed journals. Supervise and mentor MSc and PhD students, co-supervising theses and guiding laboratory work and data analysis. Requirements: Strong knowledge and
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: Strong programming skills, a valid driving license, and experience with large-scale 3D MT data acquisition, processing and inversion are essential. Experience in driving snowmobile and strong publication
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of PhD degree certificate • Contact information for two referees Application deadline: November 27, 2025 The University works actively to achieve a working environment with equal conditions, and values
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about our research can be found here . Information about Alexander Holm can be found here . Qualifications By the start date, you have graduated with a PhD in mathematics, computer science, physics
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leverage existing high-throughput data from large scale cohorts and large family cohorts complemented with bulk and single cell RNAseq data from relevant tissues to investigate T2D pathogenesis and its early